id	sid	tid	token	lemma	pos
aiti-6939	1	1	1___aiti#6939__199	1___aiti#6939__199	X
aiti-6939	1	2	-	-	SYM
aiti-6939	1	3	212	212	NUM
aiti-6939	1	4	advances	advance	NOUN
aiti-6939	1	5	in	in	ADP
aiti-6939	1	6	technology	technology	NOUN
aiti-6939	1	7	innovation	innovation	NOUN
aiti-6939	1	8	,	,	PUNCT
aiti-6939	1	9	vol	vol	NOUN
aiti-6939	1	10	.	.	PROPN
aiti-6939	1	11	6	6	NUM
aiti-6939	1	12	,	,	PUNCT
aiti-6939	1	13	no	no	INTJ
aiti-6939	1	14	.	.	NOUN
aiti-6939	1	15	4	4	NUM
aiti-6939	1	16	,	,	PUNCT
aiti-6939	1	17	2021	2021	NUM
aiti-6939	1	18	,	,	PUNCT
aiti-6939	1	19	pp	pp	ADJ
aiti-6939	1	20	.	.	PUNCT
aiti-6939	2	1	199	199	NUM
aiti-6939	2	2	-	-	SYM
aiti-6939	2	3	212	212	NUM
aiti-6939	2	4	tea	tea	NOUN
aiti-6939	2	5	verification	verification	NOUN
aiti-6939	2	6	using	use	VERB
aiti-6939	2	7	triplet	triplet	NOUN
aiti-6939	2	8	loss	loss	NOUN
aiti-6939	2	9	convolutional	convolutional	ADJ
aiti-6939	2	10	network	network	NOUN
aiti-6939	2	11	kun	kun	PROPN
aiti-6939	2	12	-	-	PUNCT
aiti-6939	2	13	yi	yi	PROPN
aiti-6939	2	14	chen1	chen1	PROPN
aiti-6939	2	15	,	,	PUNCT
aiti-6939	2	16	chi	chi	PROPN
aiti-6939	2	17	-	-	PUNCT
aiti-6939	2	18	yu	yu	PROPN
aiti-6939	2	19	chang1	chang1	PROPN
aiti-6939	2	20	,	,	PUNCT
aiti-6939	2	21	zhi	zhi	PROPN
aiti-6939	2	22	-	-	PROPN
aiti-6939	2	23	ren	ren	PROPN
aiti-6939	2	24	tsai1	tsai1	PROPN
aiti-6939	2	25	,	,	PUNCT
aiti-6939	2	26	chun	chun	PROPN
aiti-6939	2	27	-	-	PUNCT
aiti-6939	2	28	ting	ting	PROPN
aiti-6939	2	29	lee	lee	PROPN
aiti-6939	2	30	2	2	NUM
aiti-6939	2	31	,	,	PUNCT
aiti-6939	2	32	zon	zon	PROPN
aiti-6939	2	33	-	-	PUNCT
aiti-6939	2	34	yin	yin	PROPN
aiti-6939	2	35	shae1	shae1	NOUN
aiti-6939	2	36	,	,	PUNCT
aiti-6939	2	37	*	*	SYM
aiti-6939	2	38	1	1	NUM
aiti-6939	2	39	department	department	NOUN
aiti-6939	2	40	of	of	ADP
aiti-6939	2	41	computer	computer	NOUN
aiti-6939	2	42	science	science	NOUN
aiti-6939	2	43	and	and	CCONJ
aiti-6939	2	44	information	information	NOUN
aiti-6939	2	45	engineering	engineering	PROPN
aiti-6939	2	46	,	,	PUNCT
aiti-6939	2	47	asia	asia	PROPN
aiti-6939	2	48	university	university	PROPN
aiti-6939	2	49	,	,	PUNCT
aiti-6939	2	50	taichung	taichung	PROPN
aiti-6939	2	51	,	,	PUNCT
aiti-6939	2	52	taiwan	taiwan	PROPN
aiti-6939	2	53	2	2	NUM
aiti-6939	2	54	department	department	NOUN
aiti-6939	2	55	of	of	ADP
aiti-6939	2	56	psychology	psychology	NOUN
aiti-6939	2	57	,	,	PUNCT
aiti-6939	2	58	asia	asia	PROPN
aiti-6939	2	59	university	university	PROPN
aiti-6939	2	60	,	,	PUNCT
aiti-6939	2	61	taichung	taichung	PROPN
aiti-6939	2	62	,	,	PUNCT
aiti-6939	2	63	taiwan	taiwan	PROPN
aiti-6939	2	64	received	receive	VERB
aiti-6939	2	65	30	30	NUM
aiti-6939	2	66	december	december	PROPN
aiti-6939	2	67	2020	2020	NUM
aiti-6939	2	68	;	;	PUNCT
aiti-6939	2	69	received	receive	VERB
aiti-6939	2	70	in	in	ADP
aiti-6939	2	71	revised	revise	VERB
aiti-6939	2	72	form	form	NOUN
aiti-6939	2	73	17	17	NUM
aiti-6939	2	74	august	august	PROPN
aiti-6939	2	75	2021	2021	NUM
aiti-6939	2	76	;	;	PUNCT
aiti-6939	2	77	accepted	accept	VERB
aiti-6939	2	78	18	18	NUM
aiti-6939	2	79	august	august	PROPN
aiti-6939	2	80	2021	2021	NUM
aiti-6939	2	81	doi	doi	NOUN
aiti-6939	2	82	:	:	PUNCT
aiti-6939	2	83	https://doi.org/10.46604/aiti.2021.6939	https://doi.org/10.46604/aiti.2021.6939	PROPN
aiti-6939	2	84	abstract	abstract	NOUN
aiti-6939	2	85	to	to	PART
aiti-6939	2	86	solve	solve	VERB
aiti-6939	2	87	tea	tea	NOUN
aiti-6939	2	88	image	image	NOUN
aiti-6939	2	89	classification	classification	NOUN
aiti-6939	2	90	problems	problem	NOUN
aiti-6939	2	91	,	,	PUNCT
aiti-6939	2	92	this	this	DET
aiti-6939	2	93	study	study	NOUN
aiti-6939	2	94	focuses	focus	VERB
aiti-6939	2	95	on	on	ADP
aiti-6939	2	96	triplet	triplet	NOUN
aiti-6939	2	97	loss	loss	NOUN
aiti-6939	2	98	convolutional	convolutional	ADJ
aiti-6939	2	99	neural	neural	ADJ
aiti-6939	2	100	network	network	NOUN
aiti-6939	2	101	to	to	PART
aiti-6939	2	102	classify	classify	VERB
aiti-6939	2	103	six	six	NUM
aiti-6939	2	104	high	high	ADJ
aiti-6939	2	105	-	-	PUNCT
aiti-6939	2	106	mountain	mountain	NOUN
aiti-6939	2	107	oolong	oolong	NOUN
aiti-6939	2	108	tea	tea	NOUN
aiti-6939	2	109	classes	class	NOUN
aiti-6939	2	110	.	.	PUNCT
aiti-6939	3	1	in	in	ADP
aiti-6939	3	2	the	the	DET
aiti-6939	3	3	experiment	experiment	NOUN
aiti-6939	3	4	,	,	PUNCT
aiti-6939	3	5	instead	instead	ADV
aiti-6939	3	6	of	of	ADP
aiti-6939	3	7	using	use	VERB
aiti-6939	3	8	traditional	traditional	ADJ
aiti-6939	3	9	deep	deep	ADJ
aiti-6939	3	10	learning	learning	NOUN
aiti-6939	3	11	training	training	NOUN
aiti-6939	3	12	approach	approach	NOUN
aiti-6939	3	13	for	for	ADP
aiti-6939	3	14	local	local	ADJ
aiti-6939	3	15	feature	feature	NOUN
aiti-6939	3	16	of	of	ADP
aiti-6939	3	17	tea	tea	NOUN
aiti-6939	3	18	images	image	NOUN
aiti-6939	3	19	,	,	PUNCT
aiti-6939	3	20	an	an	DET
aiti-6939	3	21	innovative	innovative	ADJ
aiti-6939	3	22	image	image	NOUN
aiti-6939	3	23	verification	verification	NOUN
aiti-6939	3	24	approach	approach	NOUN
aiti-6939	3	25	is	be	AUX
aiti-6939	3	26	proposed	propose	VERB
aiti-6939	3	27	to	to	PART
aiti-6939	3	28	learn	learn	VERB
aiti-6939	3	29	the	the	DET
aiti-6939	3	30	global	global	ADJ
aiti-6939	3	31	feature	feature	NOUN
aiti-6939	3	32	of	of	ADP
aiti-6939	3	33	tea	tea	NOUN
aiti-6939	3	34	images	image	NOUN
aiti-6939	3	35	by	by	ADP
aiti-6939	3	36	integrating	integrate	VERB
aiti-6939	3	37	the	the	DET
aiti-6939	3	38	distributed	distribute	VERB
aiti-6939	3	39	tea	tea	NOUN
aiti-6939	3	40	leaves	leave	NOUN
aiti-6939	3	41	’	'	PUNCT
aiti-6939	3	42	features	feature	NOUN
aiti-6939	3	43	of	of	ADP
aiti-6939	3	44	all	all	DET
aiti-6939	3	45	tea	tea	NOUN
aiti-6939	3	46	sub	sub	NOUN
aiti-6939	3	47	-	-	NOUN
aiti-6939	3	48	images	image	NOUN
aiti-6939	3	49	and	and	CCONJ
aiti-6939	3	50	using	use	VERB
aiti-6939	3	51	a	a	DET
aiti-6939	3	52	majority	majority	NOUN
aiti-6939	3	53	voting	voting	NOUN
aiti-6939	3	54	mechanism	mechanism	NOUN
aiti-6939	3	55	to	to	PART
aiti-6939	3	56	do	do	VERB
aiti-6939	3	57	classification	classification	NOUN
aiti-6939	3	58	.	.	PUNCT
aiti-6939	4	1	the	the	DET
aiti-6939	4	2	results	result	NOUN
aiti-6939	4	3	show	show	VERB
aiti-6939	4	4	that	that	SCONJ
aiti-6939	4	5	the	the	DET
aiti-6939	4	6	proposed	propose	VERB
aiti-6939	4	7	approach	approach	NOUN
aiti-6939	4	8	can	can	AUX
aiti-6939	4	9	work	work	VERB
aiti-6939	4	10	for	for	ADP
aiti-6939	4	11	small	small	ADJ
aiti-6939	4	12	sample	sample	NOUN
aiti-6939	4	13	size	size	NOUN
aiti-6939	4	14	dataset	dataset	VERB
aiti-6939	4	15	and	and	CCONJ
aiti-6939	4	16	have	have	VERB
aiti-6939	4	17	higher	high	ADJ
aiti-6939	4	18	accuracy	accuracy	NOUN
aiti-6939	4	19	than	than	ADP
aiti-6939	4	20	normal	normal	ADJ
aiti-6939	4	21	transfer	transfer	NOUN
aiti-6939	4	22	learning	learning	NOUN
aiti-6939	4	23	approach	approach	NOUN
aiti-6939	4	24	.	.	PUNCT
aiti-6939	5	1	the	the	DET
aiti-6939	5	2	average	average	ADJ
aiti-6939	5	3	accuracy	accuracy	NOUN
aiti-6939	5	4	of	of	ADP
aiti-6939	5	5	the	the	DET
aiti-6939	5	6	proposed	propose	VERB
aiti-6939	5	7	approach	approach	NOUN
aiti-6939	5	8	achieves	achieve	VERB
aiti-6939	5	9	99.54	99.54	NUM
aiti-6939	5	10	%	%	NOUN
aiti-6939	5	11	.	.	PUNCT
aiti-6939	6	1	keywords	keyword	NOUN
aiti-6939	6	2	:	:	PUNCT
aiti-6939	6	3	convolutional	convolutional	ADJ
aiti-6939	6	4	neural	neural	ADJ
aiti-6939	6	5	network	network	NOUN
aiti-6939	6	6	,	,	PUNCT
aiti-6939	6	7	tea	tea	NOUN
aiti-6939	6	8	image	image	NOUN
aiti-6939	6	9	classification	classification	NOUN
aiti-6939	6	10	,	,	PUNCT
aiti-6939	6	11	tea	tea	NOUN
aiti-6939	6	12	image	image	NOUN
aiti-6939	6	13	verification	verification	NOUN
aiti-6939	6	14	,	,	PUNCT
aiti-6939	6	15	triplet	triplet	NOUN
aiti-6939	6	16	loss	loss	NOUN
aiti-6939	6	17	1	1	NUM
aiti-6939	6	18	.	.	PUNCT
aiti-6939	7	1	introduction	introduction	NOUN
aiti-6939	7	2	tea	tea	NOUN
aiti-6939	7	3	is	be	AUX
aiti-6939	7	4	a	a	DET
aiti-6939	7	5	vital	vital	ADJ
aiti-6939	7	6	export	export	NOUN
aiti-6939	7	7	product	product	NOUN
aiti-6939	7	8	for	for	ADP
aiti-6939	7	9	many	many	ADJ
aiti-6939	7	10	countries	country	NOUN
aiti-6939	7	11	to	to	PART
aiti-6939	7	12	sustain	sustain	VERB
aiti-6939	7	13	their	their	PRON
aiti-6939	7	14	economic	economic	ADJ
aiti-6939	7	15	growth	growth	NOUN
aiti-6939	7	16	.	.	PUNCT
aiti-6939	8	1	each	each	DET
aiti-6939	8	2	year	year	NOUN
aiti-6939	8	3	,	,	PUNCT
aiti-6939	8	4	there	there	PRON
aiti-6939	8	5	are	be	VERB
aiti-6939	8	6	at	at	ADV
aiti-6939	8	7	least	least	ADJ
aiti-6939	8	8	six	six	NUM
aiti-6939	8	9	million	million	NUM
aiti-6939	8	10	tons	ton	NOUN
aiti-6939	8	11	of	of	ADP
aiti-6939	8	12	tea	tea	NOUN
aiti-6939	8	13	were	be	AUX
aiti-6939	8	14	produced	produce	VERB
aiti-6939	8	15	globally	globally	ADV
aiti-6939	8	16	[	[	X
aiti-6939	8	17	1	1	NUM
aiti-6939	8	18	]	]	PUNCT
aiti-6939	8	19	.	.	PUNCT
aiti-6939	9	1	in	in	ADP
aiti-6939	9	2	taiwan	taiwan	PROPN
aiti-6939	9	3	,	,	PUNCT
aiti-6939	9	4	the	the	DET
aiti-6939	9	5	price	price	NOUN
aiti-6939	9	6	difference	difference	NOUN
aiti-6939	9	7	between	between	ADP
aiti-6939	9	8	high	high	ADJ
aiti-6939	9	9	quality	quality	NOUN
aiti-6939	9	10	tea	tea	NOUN
aiti-6939	9	11	and	and	CCONJ
aiti-6939	9	12	inferior	inferior	ADJ
aiti-6939	9	13	quality	quality	NOUN
aiti-6939	9	14	tea	tea	NOUN
aiti-6939	9	15	often	often	ADV
aiti-6939	9	16	reaches	reach	VERB
aiti-6939	9	17	hundreds	hundred	NOUN
aiti-6939	9	18	of	of	ADP
aiti-6939	9	19	us	us	PROPN
aiti-6939	9	20	dollars	dollar	NOUN
aiti-6939	9	21	.	.	PUNCT
aiti-6939	10	1	however	however	ADV
aiti-6939	10	2	,	,	PUNCT
aiti-6939	10	3	farmers	farmer	NOUN
aiti-6939	10	4	who	who	PRON
aiti-6939	10	5	produce	produce	VERB
aiti-6939	10	6	high	high	ADJ
aiti-6939	10	7	quality	quality	NOUN
aiti-6939	10	8	tea	tea	NOUN
aiti-6939	10	9	often	often	ADV
aiti-6939	10	10	suffer	suffer	VERB
aiti-6939	10	11	from	from	ADP
aiti-6939	10	12	tea	tea	NOUN
aiti-6939	10	13	mixing	mixing	NOUN
aiti-6939	10	14	issue	issue	NOUN
aiti-6939	10	15	,	,	PUNCT
aiti-6939	10	16	i.e.	i.e.	X
aiti-6939	10	17	,	,	PUNCT
aiti-6939	10	18	some	some	DET
aiti-6939	10	19	middlemen	middleman	NOUN
aiti-6939	10	20	mix	mix	VERB
aiti-6939	10	21	the	the	DET
aiti-6939	10	22	inferior	inferior	ADJ
aiti-6939	10	23	quality	quality	NOUN
aiti-6939	10	24	tea	tea	NOUN
aiti-6939	10	25	with	with	ADP
aiti-6939	10	26	high	high	ADJ
aiti-6939	10	27	quality	quality	NOUN
aiti-6939	10	28	tea	tea	NOUN
aiti-6939	10	29	and	and	CCONJ
aiti-6939	10	30	re	re	NOUN
aiti-6939	10	31	-	-	VERB
aiti-6939	10	32	sell	sell	VERB
aiti-6939	10	33	it	it	PRON
aiti-6939	10	34	as	as	ADP
aiti-6939	10	35	high	high	ADJ
aiti-6939	10	36	quality	quality	NOUN
aiti-6939	10	37	tea	tea	NOUN
aiti-6939	10	38	products	product	NOUN
aiti-6939	10	39	to	to	PART
aiti-6939	10	40	earn	earn	VERB
aiti-6939	10	41	extra	extra	ADJ
aiti-6939	10	42	margins	margin	NOUN
aiti-6939	10	43	.	.	PUNCT
aiti-6939	11	1	this	this	PRON
aiti-6939	11	2	can	can	AUX
aiti-6939	11	3	jeopardize	jeopardize	VERB
aiti-6939	11	4	the	the	DET
aiti-6939	11	5	sustainability	sustainability	NOUN
aiti-6939	11	6	of	of	ADP
aiti-6939	11	7	local	local	ADJ
aiti-6939	11	8	tea	tea	NOUN
aiti-6939	11	9	markets	market	NOUN
aiti-6939	11	10	because	because	SCONJ
aiti-6939	11	11	of	of	ADP
aiti-6939	11	12	losing	lose	VERB
aiti-6939	11	13	customers	customer	NOUN
aiti-6939	11	14	’	'	PUNCT
aiti-6939	11	15	trust	trust	NOUN
aiti-6939	11	16	.	.	PUNCT
aiti-6939	12	1	to	to	PART
aiti-6939	12	2	help	help	VERB
aiti-6939	12	3	tea	tea	NOUN
aiti-6939	12	4	famers	famer	NOUN
aiti-6939	12	5	deal	deal	VERB
aiti-6939	12	6	with	with	ADP
aiti-6939	12	7	this	this	DET
aiti-6939	12	8	issue	issue	NOUN
aiti-6939	12	9	,	,	PUNCT
aiti-6939	12	10	tea	tea	NOUN
aiti-6939	12	11	industry	industry	NOUN
aiti-6939	12	12	conventionally	conventionally	ADV
aiti-6939	12	13	applies	apply	VERB
aiti-6939	12	14	biochemical	biochemical	ADJ
aiti-6939	12	15	techniques	technique	NOUN
aiti-6939	12	16	,	,	PUNCT
aiti-6939	12	17	such	such	ADJ
aiti-6939	12	18	as	as	ADP
aiti-6939	12	19	dna	dna	PROPN
aiti-6939	12	20	markers	marker	NOUN
aiti-6939	12	21	,	,	PUNCT
aiti-6939	12	22	mass	mass	ADJ
aiti-6939	12	23	spectrometry	spectrometry	NOUN
aiti-6939	12	24	,	,	PUNCT
aiti-6939	12	25	gas	gas	NOUN
aiti-6939	12	26	-	-	PUNCT
aiti-6939	12	27	chromatography	chromatography	NOUN
aiti-6939	12	28	,	,	PUNCT
aiti-6939	12	29	or	or	CCONJ
aiti-6939	12	30	high	high	ADJ
aiti-6939	12	31	performance	performance	NOUN
aiti-6939	12	32	liquid	liquid	NOUN
aiti-6939	12	33	chromatography	chromatography	NOUN
aiti-6939	12	34	,	,	PUNCT
aiti-6939	12	35	to	to	PART
aiti-6939	12	36	analyze	analyze	VERB
aiti-6939	12	37	tea	tea	NOUN
aiti-6939	12	38	samples	sample	NOUN
aiti-6939	12	39	and	and	CCONJ
aiti-6939	12	40	trace	trace	VERB
aiti-6939	12	41	their	their	PRON
aiti-6939	12	42	original	original	ADJ
aiti-6939	12	43	sources	source	NOUN
aiti-6939	12	44	[	[	X
aiti-6939	12	45	2	2	NUM
aiti-6939	12	46	-	-	SYM
aiti-6939	12	47	3	3	NUM
aiti-6939	12	48	]	]	PUNCT
aiti-6939	12	49	.	.	PUNCT
aiti-6939	13	1	however	however	ADV
aiti-6939	13	2	,	,	PUNCT
aiti-6939	13	3	due	due	ADP
aiti-6939	13	4	to	to	ADP
aiti-6939	13	5	the	the	DET
aiti-6939	13	6	fact	fact	NOUN
aiti-6939	13	7	that	that	SCONJ
aiti-6939	13	8	these	these	DET
aiti-6939	13	9	techniques	technique	NOUN
aiti-6939	13	10	are	be	AUX
aiti-6939	13	11	time	time	NOUN
aiti-6939	13	12	-	-	PUNCT
aiti-6939	13	13	consuming	consume	VERB
aiti-6939	13	14	and	and	CCONJ
aiti-6939	13	15	have	have	VERB
aiti-6939	13	16	high	high	ADJ
aiti-6939	13	17	costs	cost	NOUN
aiti-6939	13	18	,	,	PUNCT
aiti-6939	13	19	computer	computer	NOUN
aiti-6939	13	20	vision	vision	NOUN
aiti-6939	13	21	approaches	approach	NOUN
aiti-6939	13	22	were	be	AUX
aiti-6939	13	23	proposed	propose	VERB
aiti-6939	13	24	in	in	ADP
aiti-6939	13	25	recent	recent	ADJ
aiti-6939	13	26	years	year	NOUN
aiti-6939	13	27	as	as	ADP
aiti-6939	13	28	an	an	DET
aiti-6939	13	29	alternative	alternative	ADJ
aiti-6939	13	30	way	way	NOUN
aiti-6939	13	31	to	to	PART
aiti-6939	13	32	complement	complement	VERB
aiti-6939	13	33	their	their	PRON
aiti-6939	13	34	disadvantages	disadvantage	NOUN
aiti-6939	13	35	;	;	PUNCT
aiti-6939	13	36	the	the	DET
aiti-6939	13	37	computer	computer	NOUN
aiti-6939	13	38	vision	vision	NOUN
aiti-6939	13	39	approaches	approach	NOUN
aiti-6939	13	40	often	often	ADV
aiti-6939	13	41	combine	combine	VERB
aiti-6939	13	42	with	with	ADP
aiti-6939	13	43	signal	signal	ADJ
aiti-6939	13	44	processing	processing	NOUN
aiti-6939	13	45	algorithms	algorithm	NOUN
aiti-6939	13	46	or	or	CCONJ
aiti-6939	13	47	machine	machine	NOUN
aiti-6939	13	48	learning	learn	VERB
aiti-6939	13	49	algorithms	algorithm	NOUN
aiti-6939	13	50	to	to	PART
aiti-6939	13	51	extract	extract	VERB
aiti-6939	13	52	tea	tea	NOUN
aiti-6939	13	53	image	image	NOUN
aiti-6939	13	54	features	feature	VERB
aiti-6939	13	55	[	[	X
aiti-6939	13	56	4	4	NUM
aiti-6939	13	57	-	-	SYM
aiti-6939	13	58	6	6	NUM
aiti-6939	13	59	]	]	PUNCT
aiti-6939	13	60	.	.	PUNCT
aiti-6939	14	1	this	this	DET
aiti-6939	14	2	research	research	NOUN
aiti-6939	14	3	aims	aim	VERB
aiti-6939	14	4	to	to	PART
aiti-6939	14	5	develop	develop	VERB
aiti-6939	14	6	an	an	DET
aiti-6939	14	7	image	image	NOUN
aiti-6939	14	8	verification	verification	NOUN
aiti-6939	14	9	approach	approach	NOUN
aiti-6939	14	10	through	through	ADP
aiti-6939	14	11	majority	majority	NOUN
aiti-6939	14	12	voting	voting	NOUN
aiti-6939	14	13	mechanism	mechanism	NOUN
aiti-6939	14	14	,	,	PUNCT
aiti-6939	14	15	which	which	PRON
aiti-6939	14	16	can	can	AUX
aiti-6939	14	17	learn	learn	VERB
aiti-6939	14	18	the	the	DET
aiti-6939	14	19	global	global	ADJ
aiti-6939	14	20	feature	feature	NOUN
aiti-6939	14	21	of	of	ADP
aiti-6939	14	22	tea	tea	NOUN
aiti-6939	14	23	images	image	NOUN
aiti-6939	14	24	by	by	ADP
aiti-6939	14	25	integrating	integrate	VERB
aiti-6939	14	26	all	all	DET
aiti-6939	14	27	tea	tea	NOUN
aiti-6939	14	28	sub	sub	NOUN
aiti-6939	14	29	-	-	NOUN
aiti-6939	14	30	images	image	NOUN
aiti-6939	14	31	’	'	PUNCT
aiti-6939	14	32	features	feature	NOUN
aiti-6939	14	33	,	,	PUNCT
aiti-6939	14	34	in	in	ADP
aiti-6939	14	35	order	order	NOUN
aiti-6939	14	36	to	to	PART
aiti-6939	14	37	help	help	VERB
aiti-6939	14	38	smallholder	smallholder	NOUN
aiti-6939	14	39	tea	tea	NOUN
aiti-6939	14	40	farmers	farmer	NOUN
aiti-6939	14	41	address	address	VERB
aiti-6939	14	42	tea	tea	NOUN
aiti-6939	14	43	mixing	mix	VERB
aiti-6939	14	44	issue	issue	NOUN
aiti-6939	14	45	.	.	PUNCT
aiti-6939	15	1	by	by	ADP
aiti-6939	15	2	using	use	VERB
aiti-6939	15	3	image	image	NOUN
aiti-6939	15	4	cropping	cropping	NOUN
aiti-6939	15	5	and	and	CCONJ
aiti-6939	15	6	majority	majority	NOUN
aiti-6939	15	7	voting	voting	NOUN
aiti-6939	15	8	,	,	PUNCT
aiti-6939	15	9	the	the	DET
aiti-6939	15	10	proposed	propose	VERB
aiti-6939	15	11	approach	approach	NOUN
aiti-6939	15	12	can	can	AUX
aiti-6939	15	13	work	work	VERB
aiti-6939	15	14	for	for	ADP
aiti-6939	15	15	small	small	ADJ
aiti-6939	15	16	sample	sample	NOUN
aiti-6939	15	17	size	size	NOUN
aiti-6939	15	18	dataset	dataset	VERB
aiti-6939	15	19	and	and	CCONJ
aiti-6939	15	20	have	have	VERB
aiti-6939	15	21	higher	high	ADJ
aiti-6939	15	22	accuracy	accuracy	NOUN
aiti-6939	15	23	than	than	ADP
aiti-6939	15	24	traditional	traditional	ADJ
aiti-6939	15	25	deep	deep	ADJ
aiti-6939	15	26	learning	learning	NOUN
aiti-6939	15	27	training	training	NOUN
aiti-6939	15	28	approach	approach	NOUN
aiti-6939	15	29	.	.	PUNCT
aiti-6939	16	1	the	the	DET
aiti-6939	16	2	remainder	remainder	NOUN
aiti-6939	16	3	of	of	ADP
aiti-6939	16	4	this	this	DET
aiti-6939	16	5	study	study	NOUN
aiti-6939	16	6	is	be	AUX
aiti-6939	16	7	arranged	arrange	VERB
aiti-6939	16	8	as	as	SCONJ
aiti-6939	16	9	follows	follow	VERB
aiti-6939	16	10	.	.	PUNCT
aiti-6939	17	1	section	section	NOUN
aiti-6939	17	2	2	2	NUM
aiti-6939	17	3	explains	explain	VERB
aiti-6939	17	4	how	how	SCONJ
aiti-6939	17	5	the	the	DET
aiti-6939	17	6	initial	initial	ADJ
aiti-6939	17	7	experiment	experiment	NOUN
aiti-6939	17	8	and	and	CCONJ
aiti-6939	17	9	two	two	NUM
aiti-6939	17	10	observations	observation	NOUN
aiti-6939	17	11	influence	influence	VERB
aiti-6939	17	12	the	the	DET
aiti-6939	17	13	proposed	propose	VERB
aiti-6939	17	14	experiment	experiment	NOUN
aiti-6939	17	15	design	design	NOUN
aiti-6939	17	16	.	.	PUNCT
aiti-6939	18	1	section	section	NOUN
aiti-6939	18	2	3	3	NUM
aiti-6939	18	3	describes	describe	VERB
aiti-6939	18	4	tea	tea	NOUN
aiti-6939	18	5	dataset	dataset	NOUN
aiti-6939	18	6	details	detail	NOUN
aiti-6939	18	7	.	.	PUNCT
aiti-6939	19	1	sections	section	NOUN
aiti-6939	19	2	4	4	NUM
aiti-6939	19	3	and	and	CCONJ
aiti-6939	19	4	5	5	NUM
aiti-6939	19	5	show	show	VERB
aiti-6939	19	6	the	the	DET
aiti-6939	19	7	proposed	propose	VERB
aiti-6939	19	8	approach	approach	NOUN
aiti-6939	19	9	for	for	ADP
aiti-6939	19	10	tea	tea	NOUN
aiti-6939	19	11	image	image	NOUN
aiti-6939	19	12	classification	classification	NOUN
aiti-6939	19	13	and	and	CCONJ
aiti-6939	19	14	its	its	PRON
aiti-6939	19	15	algorithms	algorithm	NOUN
aiti-6939	19	16	.	.	PUNCT
aiti-6939	20	1	section	section	NOUN
aiti-6939	20	2	6	6	NUM
aiti-6939	20	3	describes	describe	VERB
aiti-6939	20	4	the	the	DET
aiti-6939	20	5	whole	whole	ADJ
aiti-6939	20	6	image	image	NOUN
aiti-6939	20	7	-	-	PUNCT
aiti-6939	20	8	preprocessing	preprocesse	VERB
aiti-6939	20	9	process	process	NOUN
aiti-6939	20	10	,	,	PUNCT
aiti-6939	20	11	including	include	VERB
aiti-6939	20	12	the	the	DET
aiti-6939	20	13	standardized	standardized	ADJ
aiti-6939	20	14	procedure	procedure	NOUN
aiti-6939	20	15	for	for	ADP
aiti-6939	20	16	photograph	photograph	NOUN
aiti-6939	20	17	tea	tea	NOUN
aiti-6939	20	18	images	image	NOUN
aiti-6939	20	19	and	and	CCONJ
aiti-6939	20	20	detailed	detailed	ADJ
aiti-6939	20	21	image	image	NOUN
aiti-6939	20	22	processing	processing	NOUN
aiti-6939	20	23	method	method	NOUN
aiti-6939	20	24	.	.	PUNCT
aiti-6939	21	1	sections	section	NOUN
aiti-6939	21	2	7	7	NUM
aiti-6939	21	3	and	and	CCONJ
aiti-6939	21	4	8	8	NUM
aiti-6939	21	5	present	present	VERB
aiti-6939	21	6	the	the	DET
aiti-6939	21	7	proposed	propose	VERB
aiti-6939	21	8	model	model	NOUN
aiti-6939	21	9	architecture	architecture	NOUN
aiti-6939	21	10	and	and	CCONJ
aiti-6939	21	11	experiment	experiment	NOUN
aiti-6939	21	12	results	result	NOUN
aiti-6939	21	13	.	.	PUNCT
aiti-6939	22	1	finally	finally	ADV
aiti-6939	22	2	,	,	PUNCT
aiti-6939	22	3	section	section	NOUN
aiti-6939	22	4	9	9	NUM
aiti-6939	22	5	concludes	conclude	VERB
aiti-6939	22	6	the	the	DET
aiti-6939	22	7	study	study	NOUN
aiti-6939	22	8	.	.	PUNCT
aiti-6939	23	1	*	*	PUNCT
aiti-6939	23	2	corresponding	correspond	VERB
aiti-6939	23	3	author	author	NOUN
aiti-6939	23	4	.	.	PUNCT
aiti-6939	24	1	e	e	X
aiti-6939	24	2	-	-	NOUN
aiti-6939	24	3	mail	mail	NOUN
aiti-6939	24	4	address	address	NOUN
aiti-6939	24	5	:	:	PUNCT
aiti-6939	24	6	zshae1@asia.edu.tw	zshae1@asia.edu.tw	PROPN
aiti-6939	25	1	tel	tel	PROPN
aiti-6939	25	2	.	.	PUNCT
aiti-6939	25	3	:	:	PUNCT
aiti-6939	26	1	+886	+886	NUM
aiti-6939	26	2	-	-	PUNCT
aiti-6939	26	3	4	4	NUM
aiti-6939	26	4	-	-	SYM
aiti-6939	26	5	2332	2332	NUM
aiti-6939	26	6	3456	3456	NUM
aiti-6939	26	7	#	#	SYM
aiti-6939	26	8	1729	1729	NUM
aiti-6939	26	9	advances	advance	NOUN
aiti-6939	26	10	in	in	ADP
aiti-6939	26	11	technology	technology	NOUN
aiti-6939	26	12	innovation	innovation	NOUN
aiti-6939	26	13	,	,	PUNCT
aiti-6939	26	14	vol	vol	NOUN
aiti-6939	26	15	.	.	PROPN
aiti-6939	26	16	6	6	NUM
aiti-6939	26	17	,	,	PUNCT
aiti-6939	26	18	no	no	INTJ
aiti-6939	26	19	.	.	NOUN
aiti-6939	26	20	4	4	NUM
aiti-6939	26	21	,	,	PUNCT
aiti-6939	26	22	2021	2021	NUM
aiti-6939	26	23	,	,	PUNCT
aiti-6939	26	24	pp	pp	ADJ
aiti-6939	26	25	.	.	PUNCT
aiti-6939	26	26	199	199	NUM
aiti-6939	26	27	-	-	SYM
aiti-6939	26	28	212	212	NUM
aiti-6939	26	29	2	2	NUM
aiti-6939	26	30	.	.	PUNCT
aiti-6939	26	31	initial	initial	ADJ
aiti-6939	26	32	experiment	experiment	NOUN
aiti-6939	26	33	and	and	CCONJ
aiti-6939	26	34	observations	observation	NOUN
aiti-6939	26	35	there	there	PRON
aiti-6939	26	36	are	be	VERB
aiti-6939	26	37	six	six	NUM
aiti-6939	26	38	high	high	ADJ
aiti-6939	26	39	-	-	PUNCT
aiti-6939	26	40	mountain	mountain	NOUN
aiti-6939	26	41	oolong	oolong	NOUN
aiti-6939	26	42	tea	tea	NOUN
aiti-6939	26	43	classes	class	NOUN
aiti-6939	26	44	in	in	ADP
aiti-6939	26	45	this	this	DET
aiti-6939	26	46	study	study	NOUN
aiti-6939	26	47	(	(	PUNCT
aiti-6939	26	48	for	for	ADP
aiti-6939	26	49	detailed	detailed	ADJ
aiti-6939	26	50	dataset	dataset	NOUN
aiti-6939	26	51	description	description	NOUN
aiti-6939	26	52	,	,	PUNCT
aiti-6939	26	53	see	see	VERB
aiti-6939	26	54	section	section	NOUN
aiti-6939	26	55	3	3	NUM
aiti-6939	26	56	)	)	PUNCT
aiti-6939	26	57	.	.	PUNCT
aiti-6939	27	1	the	the	DET
aiti-6939	27	2	initial	initial	ADJ
aiti-6939	27	3	attempt	attempt	NOUN
aiti-6939	27	4	to	to	PART
aiti-6939	27	5	classify	classify	VERB
aiti-6939	27	6	these	these	DET
aiti-6939	27	7	tea	tea	NOUN
aiti-6939	27	8	classes	class	NOUN
aiti-6939	27	9	is	be	AUX
aiti-6939	27	10	to	to	PART
aiti-6939	27	11	use	use	VERB
aiti-6939	27	12	normal	normal	ADJ
aiti-6939	27	13	transfer	transfer	NOUN
aiti-6939	27	14	learning	learn	VERB
aiti-6939	27	15	training	training	NOUN
aiti-6939	27	16	approach	approach	NOUN
aiti-6939	27	17	(	(	PUNCT
aiti-6939	27	18	fig	fig	NOUN
aiti-6939	27	19	.	.	PUNCT
aiti-6939	27	20	1	1	NUM
aiti-6939	27	21	)	)	PUNCT
aiti-6939	27	22	,	,	PUNCT
aiti-6939	27	23	which	which	PRON
aiti-6939	27	24	has	have	VERB
aiti-6939	27	25	three	three	NUM
aiti-6939	27	26	parts	part	NOUN
aiti-6939	27	27	:	:	PUNCT
aiti-6939	27	28	image	image	NOUN
aiti-6939	27	29	pre	pre	ADJ
aiti-6939	27	30	-	-	ADJ
aiti-6939	27	31	processing	processing	ADJ
aiti-6939	27	32	,	,	PUNCT
aiti-6939	27	33	image	image	NOUN
aiti-6939	27	34	augmentation	augmentation	NOUN
aiti-6939	27	35	,	,	PUNCT
aiti-6939	27	36	and	and	CCONJ
aiti-6939	27	37	model	model	NOUN
aiti-6939	27	38	training	training	NOUN
aiti-6939	27	39	.	.	PUNCT
aiti-6939	28	1	in	in	ADP
aiti-6939	28	2	the	the	DET
aiti-6939	28	3	experiment	experiment	NOUN
aiti-6939	28	4	,	,	PUNCT
aiti-6939	28	5	four	four	NUM
aiti-6939	28	6	pre	pre	ADJ
aiti-6939	28	7	-	-	ADJ
aiti-6939	28	8	trained	train	VERB
aiti-6939	28	9	models	model	NOUN
aiti-6939	28	10	(	(	PUNCT
aiti-6939	28	11	pre	pre	ADJ
aiti-6939	28	12	-	-	ADJ
aiti-6939	28	13	trained	train	VERB
aiti-6939	28	14	weight	weight	NOUN
aiti-6939	28	15	using	use	VERB
aiti-6939	28	16	imagenet	imagenet	NOUN
aiti-6939	28	17	)	)	PUNCT
aiti-6939	28	18	,	,	PUNCT
aiti-6939	28	19	i.e.	i.e.	X
aiti-6939	28	20	,	,	PUNCT
aiti-6939	28	21	xception	xception	PROPN
aiti-6939	28	22	,	,	PUNCT
aiti-6939	28	23	vgg16	vgg16	PROPN
aiti-6939	28	24	,	,	PUNCT
aiti-6939	28	25	inceptionv3	inceptionv3	NOUN
aiti-6939	28	26	,	,	PUNCT
aiti-6939	28	27	and	and	CCONJ
aiti-6939	28	28	inceptionresnetv2	inceptionresnetv2	NOUN
aiti-6939	28	29	models	model	NOUN
aiti-6939	28	30	[	[	X
aiti-6939	28	31	7	7	NUM
aiti-6939	28	32	-	-	SYM
aiti-6939	28	33	10	10	NUM
aiti-6939	28	34	]	]	PUNCT
aiti-6939	28	35	,	,	PUNCT
aiti-6939	28	36	are	be	AUX
aiti-6939	28	37	used	use	VERB
aiti-6939	28	38	to	to	PART
aiti-6939	28	39	classify	classify	VERB
aiti-6939	28	40	tea	tea	NOUN
aiti-6939	28	41	classes	class	NOUN
aiti-6939	28	42	.	.	PUNCT
aiti-6939	29	1	the	the	DET
aiti-6939	29	2	overall	overall	ADJ
aiti-6939	29	3	transfer	transfer	NOUN
aiti-6939	29	4	-	-	PUNCT
aiti-6939	29	5	learning	learn	VERB
aiti-6939	29	6	model	model	NOUN
aiti-6939	29	7	architecture	architecture	NOUN
aiti-6939	29	8	with	with	ADP
aiti-6939	29	9	its	its	PRON
aiti-6939	29	10	parameters	parameter	NOUN
aiti-6939	29	11	and	and	CCONJ
aiti-6939	29	12	neural	neural	ADJ
aiti-6939	29	13	layer	layer	NOUN
aiti-6939	29	14	information	information	NOUN
aiti-6939	29	15	can	can	AUX
aiti-6939	29	16	be	be	AUX
aiti-6939	29	17	seen	see	VERB
aiti-6939	29	18	in	in	ADP
aiti-6939	29	19	fig	fig	NOUN
aiti-6939	29	20	.	.	PUNCT
aiti-6939	30	1	2	2	X
aiti-6939	30	2	.	.	X
aiti-6939	30	3	the	the	DET
aiti-6939	30	4	first	first	ADJ
aiti-6939	30	5	part	part	NOUN
aiti-6939	30	6	in	in	ADP
aiti-6939	30	7	fig	fig	NOUN
aiti-6939	30	8	.	.	PUNCT
aiti-6939	31	1	1	1	NUM
aiti-6939	31	2	is	be	AUX
aiti-6939	31	3	image	image	NOUN
aiti-6939	31	4	pre	pre	ADJ
aiti-6939	31	5	-	-	ADJ
aiti-6939	31	6	processing	processing	ADJ
aiti-6939	31	7	,	,	PUNCT
aiti-6939	31	8	where	where	SCONJ
aiti-6939	31	9	all	all	DET
aiti-6939	31	10	tea	tea	NOUN
aiti-6939	31	11	images	image	NOUN
aiti-6939	31	12	are	be	AUX
aiti-6939	31	13	resized	resize	VERB
aiti-6939	31	14	to	to	ADP
aiti-6939	31	15	299	299	NUM
aiti-6939	31	16	×	×	NOUN
aiti-6939	31	17	299	299	NUM
aiti-6939	31	18	pixel	pixel	NOUN
aiti-6939	31	19	size	size	NOUN
aiti-6939	31	20	with	with	ADP
aiti-6939	31	21	three	three	NUM
aiti-6939	31	22	color	color	NOUN
aiti-6939	31	23	channels	channel	NOUN
aiti-6939	31	24	.	.	PUNCT
aiti-6939	32	1	the	the	DET
aiti-6939	32	2	second	second	ADJ
aiti-6939	32	3	part	part	NOUN
aiti-6939	32	4	,	,	PUNCT
aiti-6939	32	5	data	datum	NOUN
aiti-6939	32	6	augmentation	augmentation	NOUN
aiti-6939	32	7	,	,	PUNCT
aiti-6939	32	8	is	be	AUX
aiti-6939	32	9	used	use	VERB
aiti-6939	32	10	to	to	PART
aiti-6939	32	11	mitigate	mitigate	VERB
aiti-6939	32	12	small	small	ADJ
aiti-6939	32	13	data	datum	NOUN
aiti-6939	32	14	size	size	NOUN
aiti-6939	32	15	issue	issue	NOUN
aiti-6939	32	16	.	.	PUNCT
aiti-6939	33	1	data	datum	NOUN
aiti-6939	33	2	augmentation	augmentation	NOUN
aiti-6939	33	3	methods	method	NOUN
aiti-6939	33	4	used	use	VERB
aiti-6939	33	5	in	in	ADP
aiti-6939	33	6	the	the	DET
aiti-6939	33	7	experiment	experiment	NOUN
aiti-6939	33	8	including	include	VERB
aiti-6939	33	9	randomly	randomly	ADJ
aiti-6939	33	10	image	image	NOUN
aiti-6939	33	11	rotation	rotation	NOUN
aiti-6939	33	12	(	(	PUNCT
aiti-6939	33	13	0	0	NUM
aiti-6939	33	14	~	~	SYM
aiti-6939	33	15	30	30	NUM
aiti-6939	33	16	degree	degree	NOUN
aiti-6939	33	17	)	)	PUNCT
aiti-6939	33	18	,	,	PUNCT
aiti-6939	33	19	randomly	randomly	ADV
aiti-6939	33	20	horizontal	horizontal	ADJ
aiti-6939	33	21	flip	flip	NOUN
aiti-6939	33	22	,	,	PUNCT
aiti-6939	33	23	and	and	CCONJ
aiti-6939	33	24	randomly	randomly	ADV
aiti-6939	33	25	vertical	vertical	ADJ
aiti-6939	33	26	flip	flip	NOUN
aiti-6939	33	27	.	.	PUNCT
aiti-6939	34	1	through	through	ADP
aiti-6939	34	2	initial	initial	ADJ
aiti-6939	34	3	experiment	experiment	NOUN
aiti-6939	34	4	,	,	PUNCT
aiti-6939	34	5	the	the	DET
aiti-6939	34	6	result	result	NOUN
aiti-6939	34	7	shows	show	VERB
aiti-6939	34	8	that	that	SCONJ
aiti-6939	34	9	the	the	DET
aiti-6939	34	10	normal	normal	ADJ
aiti-6939	34	11	transfer	transfer	NOUN
aiti-6939	34	12	learning	learn	VERB
aiti-6939	34	13	training	training	NOUN
aiti-6939	34	14	approach	approach	NOUN
aiti-6939	34	15	performs	perform	VERB
aiti-6939	34	16	poorly	poorly	ADV
aiti-6939	34	17	for	for	ADP
aiti-6939	34	18	tea	tea	NOUN
aiti-6939	34	19	image	image	NOUN
aiti-6939	34	20	classification	classification	NOUN
aiti-6939	34	21	task	task	NOUN
aiti-6939	34	22	(	(	PUNCT
aiti-6939	34	23	table	table	NOUN
aiti-6939	34	24	1	1	NUM
aiti-6939	34	25	)	)	PUNCT
aiti-6939	34	26	.	.	PUNCT
aiti-6939	35	1	in	in	ADP
aiti-6939	35	2	table	table	NOUN
aiti-6939	35	3	1	1	NUM
aiti-6939	35	4	,	,	PUNCT
aiti-6939	35	5	the	the	DET
aiti-6939	35	6	first	first	ADJ
aiti-6939	35	7	column	column	NOUN
aiti-6939	35	8	displays	display	VERB
aiti-6939	35	9	several	several	ADJ
aiti-6939	35	10	pre	pre	ADJ
aiti-6939	35	11	-	-	ADJ
aiti-6939	35	12	trained	train	VERB
aiti-6939	35	13	deep	deep	ADJ
aiti-6939	35	14	learning	learning	NOUN
aiti-6939	35	15	models	model	NOUN
aiti-6939	35	16	applied	apply	VERB
aiti-6939	35	17	for	for	ADP
aiti-6939	35	18	tea	tea	NOUN
aiti-6939	35	19	classification	classification	NOUN
aiti-6939	35	20	.	.	PUNCT
aiti-6939	36	1	the	the	DET
aiti-6939	36	2	third	third	ADJ
aiti-6939	36	3	column	column	NOUN
aiti-6939	36	4	shows	show	VERB
aiti-6939	36	5	the	the	DET
aiti-6939	36	6	test	test	NOUN
aiti-6939	36	7	accuracy	accuracy	NOUN
aiti-6939	36	8	of	of	ADP
aiti-6939	36	9	each	each	DET
aiti-6939	36	10	trained	train	VERB
aiti-6939	36	11	model	model	NOUN
aiti-6939	36	12	.	.	PUNCT
aiti-6939	37	1	the	the	DET
aiti-6939	37	2	result	result	NOUN
aiti-6939	37	3	shows	show	VERB
aiti-6939	37	4	that	that	SCONJ
aiti-6939	37	5	none	none	NOUN
aiti-6939	37	6	of	of	ADP
aiti-6939	37	7	these	these	DET
aiti-6939	37	8	models	model	NOUN
aiti-6939	37	9	’	'	PUNCT
aiti-6939	37	10	accuracy	accuracy	NOUN
aiti-6939	37	11	is	be	AUX
aiti-6939	37	12	greater	great	ADJ
aiti-6939	37	13	than	than	ADP
aiti-6939	37	14	70	70	NUM
aiti-6939	37	15	%	%	NOUN
aiti-6939	37	16	,	,	PUNCT
aiti-6939	37	17	which	which	PRON
aiti-6939	37	18	suggests	suggest	VERB
aiti-6939	37	19	that	that	SCONJ
aiti-6939	37	20	the	the	DET
aiti-6939	37	21	normal	normal	ADJ
aiti-6939	37	22	transfer	transfer	NOUN
aiti-6939	37	23	learning	learn	VERB
aiti-6939	37	24	training	training	NOUN
aiti-6939	37	25	approach	approach	NOUN
aiti-6939	37	26	is	be	AUX
aiti-6939	37	27	not	not	PART
aiti-6939	37	28	suitable	suitable	ADJ
aiti-6939	37	29	for	for	ADP
aiti-6939	37	30	the	the	DET
aiti-6939	37	31	dataset	dataset	NOUN
aiti-6939	37	32	in	in	ADP
aiti-6939	37	33	this	this	DET
aiti-6939	37	34	study	study	NOUN
aiti-6939	37	35	.	.	PUNCT
aiti-6939	38	1	table	table	NOUN
aiti-6939	38	2	2	2	NUM
aiti-6939	38	3	shows	show	NOUN
aiti-6939	38	4	models	model	NOUN
aiti-6939	38	5	’	'	PUNCT
aiti-6939	38	6	hyperparameters	hyperparameter	NOUN
aiti-6939	39	1	;	;	PUNCT
aiti-6939	39	2	the	the	DET
aiti-6939	39	3	same	same	ADJ
aiti-6939	39	4	hyperparameters	hyperparameter	NOUN
aiti-6939	39	5	are	be	AUX
aiti-6939	39	6	used	use	VERB
aiti-6939	39	7	for	for	ADP
aiti-6939	39	8	all	all	DET
aiti-6939	39	9	models	model	NOUN
aiti-6939	39	10	.	.	PUNCT
aiti-6939	40	1	the	the	DET
aiti-6939	40	2	low	low	ADJ
aiti-6939	40	3	accuracy	accuracy	NOUN
aiti-6939	40	4	issue	issue	NOUN
aiti-6939	40	5	can	can	AUX
aiti-6939	40	6	be	be	AUX
aiti-6939	40	7	explained	explain	VERB
aiti-6939	40	8	from	from	ADP
aiti-6939	40	9	two	two	NUM
aiti-6939	40	10	perspectives	perspective	NOUN
aiti-6939	40	11	.	.	PUNCT
aiti-6939	41	1	first	first	ADV
aiti-6939	41	2	,	,	PUNCT
aiti-6939	41	3	the	the	DET
aiti-6939	41	4	small	small	ADJ
aiti-6939	41	5	data	datum	NOUN
aiti-6939	41	6	size	size	NOUN
aiti-6939	41	7	used	use	VERB
aiti-6939	41	8	to	to	PART
aiti-6939	41	9	train	train	NOUN
aiti-6939	41	10	models	model	NOUN
aiti-6939	41	11	can	can	AUX
aiti-6939	41	12	result	result	VERB
aiti-6939	41	13	in	in	ADP
aiti-6939	41	14	model	model	NOUN
aiti-6939	41	15	overfitting	overfitting	NOUN
aiti-6939	41	16	.	.	PUNCT
aiti-6939	42	1	as	as	SCONJ
aiti-6939	42	2	illustrated	illustrate	VERB
aiti-6939	42	3	in	in	ADP
aiti-6939	42	4	fig	fig	NOUN
aiti-6939	42	5	.	.	PUNCT
aiti-6939	43	1	3	3	NUM
aiti-6939	43	2	,	,	PUNCT
aiti-6939	43	3	the	the	DET
aiti-6939	43	4	model	model	NOUN
aiti-6939	43	5	overfitting	overfitte	VERB
aiti-6939	43	6	tendency	tendency	NOUN
aiti-6939	43	7	can	can	AUX
aiti-6939	43	8	be	be	AUX
aiti-6939	43	9	observed	observe	VERB
aiti-6939	43	10	from	from	ADP
aiti-6939	43	11	the	the	DET
aiti-6939	43	12	changes	change	NOUN
aiti-6939	43	13	of	of	ADP
aiti-6939	43	14	validation	validation	NOUN
aiti-6939	43	15	loss	loss	NOUN
aiti-6939	43	16	,	,	PUNCT
aiti-6939	43	17	which	which	PRON
aiti-6939	43	18	shows	show	VERB
aiti-6939	43	19	that	that	SCONJ
aiti-6939	43	20	the	the	DET
aiti-6939	43	21	training	training	NOUN
aiti-6939	43	22	data	data	NOUN
aiti-6939	43	23	is	be	AUX
aiti-6939	43	24	not	not	PART
aiti-6939	43	25	enough	enough	ADJ
aiti-6939	43	26	.	.	PUNCT
aiti-6939	44	1	the	the	DET
aiti-6939	44	2	reason	reason	NOUN
aiti-6939	44	3	of	of	ADP
aiti-6939	44	4	only	only	ADV
aiti-6939	44	5	using	use	VERB
aiti-6939	44	6	360	360	NUM
aiti-6939	44	7	tea	tea	NOUN
aiti-6939	44	8	images	image	NOUN
aiti-6939	44	9	is	be	AUX
aiti-6939	44	10	that	that	SCONJ
aiti-6939	44	11	the	the	DET
aiti-6939	44	12	application	application	NOUN
aiti-6939	44	13	scenario	scenario	NOUN
aiti-6939	44	14	of	of	ADP
aiti-6939	44	15	the	the	DET
aiti-6939	44	16	study	study	NOUN
aiti-6939	44	17	is	be	AUX
aiti-6939	44	18	to	to	PART
aiti-6939	44	19	develop	develop	VERB
aiti-6939	44	20	a	a	DET
aiti-6939	44	21	tea	tea	NOUN
aiti-6939	44	22	image	image	NOUN
aiti-6939	44	23	verification	verification	NOUN
aiti-6939	44	24	technique	technique	NOUN
aiti-6939	44	25	for	for	ADP
aiti-6939	44	26	smallholder	smallholder	NOUN
aiti-6939	44	27	tea	tea	NOUN
aiti-6939	44	28	farmers	farmer	NOUN
aiti-6939	44	29	.	.	PUNCT
aiti-6939	45	1	therefore	therefore	ADV
aiti-6939	45	2	,	,	PUNCT
aiti-6939	45	3	small	small	ADJ
aiti-6939	45	4	data	datum	NOUN
aiti-6939	45	5	size	size	NOUN
aiti-6939	45	6	is	be	AUX
aiti-6939	45	7	inevitable	inevitable	ADJ
aiti-6939	45	8	in	in	ADP
aiti-6939	45	9	this	this	DET
aiti-6939	45	10	study	study	NOUN
aiti-6939	45	11	and	and	CCONJ
aiti-6939	45	12	becomes	become	VERB
aiti-6939	45	13	a	a	DET
aiti-6939	45	14	research	research	NOUN
aiti-6939	45	15	problem	problem	NOUN
aiti-6939	45	16	to	to	PART
aiti-6939	45	17	be	be	AUX
aiti-6939	45	18	solved	solve	VERB
aiti-6939	45	19	via	via	ADP
aiti-6939	45	20	algorithm	algorithm	NOUN
aiti-6939	45	21	design	design	NOUN
aiti-6939	45	22	.	.	PUNCT
aiti-6939	46	1	second	second	ADJ
aiti-6939	46	2	,	,	PUNCT
aiti-6939	46	3	there	there	PRON
aiti-6939	46	4	may	may	AUX
aiti-6939	46	5	be	be	AUX
aiti-6939	46	6	some	some	DET
aiti-6939	46	7	distinct	distinct	ADJ
aiti-6939	46	8	properties	property	NOUN
aiti-6939	46	9	between	between	ADP
aiti-6939	46	10	traditional	traditional	ADJ
aiti-6939	46	11	images	image	NOUN
aiti-6939	46	12	and	and	CCONJ
aiti-6939	46	13	tea	tea	NOUN
aiti-6939	46	14	images	image	NOUN
aiti-6939	46	15	such	such	ADJ
aiti-6939	46	16	that	that	SCONJ
aiti-6939	46	17	the	the	DET
aiti-6939	46	18	normal	normal	ADJ
aiti-6939	46	19	transfer	transfer	NOUN
aiti-6939	46	20	learning	learning	NOUN
aiti-6939	46	21	approaches	approach	NOUN
aiti-6939	46	22	do	do	AUX
aiti-6939	46	23	not	not	PART
aiti-6939	46	24	work	work	VERB
aiti-6939	46	25	.	.	PUNCT
aiti-6939	47	1	here	here	ADV
aiti-6939	47	2	,	,	PUNCT
aiti-6939	47	3	traditional	traditional	ADJ
aiti-6939	47	4	image	image	NOUN
aiti-6939	47	5	means	mean	VERB
aiti-6939	47	6	the	the	DET
aiti-6939	47	7	images	image	NOUN
aiti-6939	47	8	without	without	ADP
aiti-6939	47	9	distributed	distribute	VERB
aiti-6939	47	10	objects	object	NOUN
aiti-6939	47	11	,	,	PUNCT
aiti-6939	47	12	such	such	ADJ
aiti-6939	47	13	as	as	ADP
aiti-6939	47	14	tea	tea	NOUN
aiti-6939	47	15	leaves	leave	NOUN
aiti-6939	47	16	.	.	PUNCT
aiti-6939	48	1	to	to	PART
aiti-6939	48	2	examine	examine	VERB
aiti-6939	48	3	the	the	DET
aiti-6939	48	4	rationality	rationality	NOUN
aiti-6939	48	5	of	of	ADP
aiti-6939	48	6	the	the	DET
aiti-6939	48	7	above	above	ADV
aiti-6939	48	8	-	-	PUNCT
aiti-6939	48	9	mentioned	mention	VERB
aiti-6939	48	10	explanations	explanation	NOUN
aiti-6939	48	11	for	for	ADP
aiti-6939	48	12	low	low	ADJ
aiti-6939	48	13	accuracy	accuracy	NOUN
aiti-6939	48	14	,	,	PUNCT
aiti-6939	48	15	two	two	NUM
aiti-6939	48	16	observations	observation	NOUN
aiti-6939	48	17	are	be	AUX
aiti-6939	48	18	conducted	conduct	VERB
aiti-6939	48	19	.	.	PUNCT
aiti-6939	49	1	fig	fig	NOUN
aiti-6939	49	2	.	.	PUNCT
aiti-6939	50	1	1	1	NUM
aiti-6939	50	2	normal	normal	ADJ
aiti-6939	50	3	transfer	transfer	NOUN
aiti-6939	50	4	learning	learn	VERB
aiti-6939	50	5	approach	approach	NOUN
aiti-6939	50	6	in	in	ADP
aiti-6939	50	7	this	this	DET
aiti-6939	50	8	study	study	NOUN
aiti-6939	50	9	fig	fig	NOUN
aiti-6939	50	10	.	.	PUNCT
aiti-6939	51	1	2	2	NUM
aiti-6939	51	2	architecture	architecture	NOUN
aiti-6939	51	3	of	of	ADP
aiti-6939	51	4	additional	additional	ADJ
aiti-6939	51	5	four	four	NUM
aiti-6939	51	6	dense	dense	ADJ
aiti-6939	51	7	layers	layer	NOUN
aiti-6939	51	8	table	table	NOUN
aiti-6939	51	9	1	1	NUM
aiti-6939	51	10	classification	classification	NOUN
aiti-6939	51	11	accuracy	accuracy	NOUN
aiti-6939	51	12	of	of	ADP
aiti-6939	51	13	training	training	NOUN
aiti-6939	51	14	and	and	CCONJ
aiti-6939	51	15	testing	testing	NOUN
aiti-6939	51	16	data	datum	NOUN
aiti-6939	51	17	for	for	ADP
aiti-6939	51	18	oolong	oolong	NOUN
aiti-6939	51	19	tea	tea	NOUN
aiti-6939	51	20	dataset	dataset	NOUN
aiti-6939	51	21	in	in	ADP
aiti-6939	51	22	different	different	ADJ
aiti-6939	51	23	pre	pre	ADJ
aiti-6939	51	24	-	-	ADJ
aiti-6939	51	25	trained	train	VERB
aiti-6939	51	26	models	model	NOUN
aiti-6939	51	27	using	use	VERB
aiti-6939	51	28	transfer	transfer	NOUN
aiti-6939	51	29	learning	learn	VERB
aiti-6939	51	30	pre	pre	ADJ
aiti-6939	51	31	-	-	ADJ
aiti-6939	51	32	trained	train	VERB
aiti-6939	51	33	models	model	NOUN
aiti-6939	51	34	accuracy	accuracy	NOUN
aiti-6939	51	35	of	of	ADP
aiti-6939	51	36	training	training	NOUN
aiti-6939	51	37	data	datum	NOUN
aiti-6939	51	38	accuracy	accuracy	NOUN
aiti-6939	51	39	of	of	ADP
aiti-6939	51	40	testing	testing	NOUN
aiti-6939	51	41	data	datum	NOUN
aiti-6939	51	42	xception	xception	NOUN
aiti-6939	51	43	73.75	73.75	NUM
aiti-6939	51	44	%	%	NOUN
aiti-6939	51	45	60.00	60.00	NUM
aiti-6939	51	46	%	%	NOUN
aiti-6939	51	47	vgg16	vgg16	VERB
aiti-6939	51	48	65.83	65.83	NUM
aiti-6939	51	49	%	%	NOUN
aiti-6939	51	50	69.99	69.99	NUM
aiti-6939	51	51	%	%	NOUN
aiti-6939	51	52	inceptionv3	inceptionv3	NOUN
aiti-6939	51	53	25.00	25.00	NUM
aiti-6939	51	54	%	%	NOUN
aiti-6939	51	55	20.00	20.00	NUM
aiti-6939	51	56	%	%	NOUN
aiti-6939	51	57	inceptionresnetv2	inceptionresnetv2	NOUN
aiti-6939	51	58	18.75	18.75	NUM
aiti-6939	51	59	%	%	NOUN
aiti-6939	51	60	16.67	16.67	NUM
aiti-6939	51	61	%	%	NOUN
aiti-6939	51	62	200	200	NUM
aiti-6939	51	63	advances	advance	NOUN
aiti-6939	51	64	in	in	ADP
aiti-6939	51	65	technology	technology	NOUN
aiti-6939	51	66	innovation	innovation	NOUN
aiti-6939	51	67	,	,	PUNCT
aiti-6939	51	68	vol	vol	NOUN
aiti-6939	51	69	.	.	PROPN
aiti-6939	52	1	6	6	NUM
aiti-6939	52	2	,	,	PUNCT
aiti-6939	52	3	no	no	INTJ
aiti-6939	52	4	.	.	NOUN
aiti-6939	52	5	4	4	NUM
aiti-6939	52	6	,	,	PUNCT
aiti-6939	52	7	2021	2021	NUM
aiti-6939	52	8	,	,	PUNCT
aiti-6939	53	1	pp	pp	ADJ
aiti-6939	53	2	.	.	PUNCT
aiti-6939	54	1	199	199	NUM
aiti-6939	54	2	-	-	SYM
aiti-6939	54	3	212	212	NUM
aiti-6939	54	4	table	table	NOUN
aiti-6939	54	5	2	2	NUM
aiti-6939	54	6	parameters	parameter	NOUN
aiti-6939	54	7	and	and	CCONJ
aiti-6939	54	8	hyperparameters	hyperparameter	NOUN
aiti-6939	54	9	of	of	ADP
aiti-6939	54	10	models	model	NOUN
aiti-6939	54	11	transfer	transfer	VERB
aiti-6939	54	12	learning	learn	VERB
aiti-6939	54	13	weight	weight	NOUN
aiti-6939	54	14	loss	loss	NOUN
aiti-6939	54	15	function	function	NOUN
aiti-6939	54	16	optimization	optimization	NOUN
aiti-6939	54	17	function	function	VERB
aiti-6939	54	18	additional	additional	ADJ
aiti-6939	54	19	dense	dense	ADJ
aiti-6939	54	20	layers	layer	NOUN
aiti-6939	54	21	epochs	epoch	NOUN
aiti-6939	54	22	learning	learn	VERB
aiti-6939	54	23	rate	rate	NOUN
aiti-6939	54	24	imagenet	imagenet	PROPN
aiti-6939	54	25	categorical	categorical	PROPN
aiti-6939	54	26	cross	cross	NOUN
aiti-6939	54	27	-	-	ADJ
aiti-6939	54	28	entropy	entropy	ADJ
aiti-6939	54	29	rmsprop	rmsprop	VERB
aiti-6939	54	30	4	4	NUM
aiti-6939	54	31	500	500	NUM
aiti-6939	54	32	1e-5	1e-5	NUM
aiti-6939	54	33	fig	fig	NOUN
aiti-6939	54	34	.	.	PUNCT
aiti-6939	55	1	3	3	NUM
aiti-6939	55	2	historical	historical	ADJ
aiti-6939	55	3	loss	loss	NOUN
aiti-6939	55	4	values	value	NOUN
aiti-6939	55	5	in	in	ADP
aiti-6939	55	6	training	training	NOUN
aiti-6939	55	7	process	process	NOUN
aiti-6939	55	8	of	of	ADP
aiti-6939	55	9	inceptionv3	inceptionv3	NOUN
aiti-6939	55	10	model	model	NOUN
aiti-6939	55	11	using	use	VERB
aiti-6939	55	12	normal	normal	ADJ
aiti-6939	55	13	transfer	transfer	NOUN
aiti-6939	55	14	learning	learn	VERB
aiti-6939	55	15	approach	approach	NOUN
aiti-6939	55	16	for	for	ADP
aiti-6939	55	17	the	the	DET
aiti-6939	55	18	first	first	ADJ
aiti-6939	55	19	observation	observation	NOUN
aiti-6939	55	20	,	,	PUNCT
aiti-6939	55	21	two	two	NUM
aiti-6939	55	22	algorithms	algorithm	NOUN
aiti-6939	55	23	,	,	PUNCT
aiti-6939	55	24	i.e.	i.e.	X
aiti-6939	55	25	,	,	PUNCT
aiti-6939	55	26	gradcam++	gradcam++	NOUN
aiti-6939	55	27	and	and	CCONJ
aiti-6939	55	28	smoothgrad	smoothgrad	PRON
aiti-6939	56	1	[	[	X
aiti-6939	56	2	11	11	NUM
aiti-6939	56	3	-	-	SYM
aiti-6939	56	4	12	12	NUM
aiti-6939	56	5	]	]	PUNCT
aiti-6939	56	6	,	,	PUNCT
aiti-6939	56	7	are	be	AUX
aiti-6939	56	8	used	use	VERB
aiti-6939	56	9	to	to	PART
aiti-6939	56	10	visualize	visualize	VERB
aiti-6939	56	11	the	the	DET
aiti-6939	56	12	pre	pre	ADJ
aiti-6939	56	13	-	-	ADJ
aiti-6939	56	14	trained	train	VERB
aiti-6939	56	15	artificial	artificial	ADJ
aiti-6939	56	16	intelligence	intelligence	NOUN
aiti-6939	56	17	(	(	PUNCT
aiti-6939	56	18	ai	ai	PROPN
aiti-6939	56	19	)	)	PUNCT
aiti-6939	56	20	model	model	NOUN
aiti-6939	56	21	’s	’s	PART
aiti-6939	56	22	activation	activation	NOUN
aiti-6939	56	23	map	map	NOUN
aiti-6939	56	24	and	and	CCONJ
aiti-6939	56	25	saliency	saliency	NOUN
aiti-6939	56	26	map	map	NOUN
aiti-6939	56	27	.	.	PUNCT
aiti-6939	57	1	in	in	ADP
aiti-6939	57	2	fig	fig	NOUN
aiti-6939	57	3	.	.	PUNCT
aiti-6939	58	1	4	4	NUM
aiti-6939	58	2	,	,	PUNCT
aiti-6939	58	3	there	there	PRON
aiti-6939	58	4	are	be	VERB
aiti-6939	58	5	three	three	NUM
aiti-6939	58	6	images	image	NOUN
aiti-6939	58	7	presenting	present	VERB
aiti-6939	58	8	goldfish	goldfish	NOUN
aiti-6939	58	9	,	,	PUNCT
aiti-6939	58	10	dog	dog	NOUN
aiti-6939	58	11	,	,	PUNCT
aiti-6939	58	12	and	and	CCONJ
aiti-6939	58	13	tea	tea	NOUN
aiti-6939	58	14	.	.	PUNCT
aiti-6939	59	1	the	the	DET
aiti-6939	59	2	goldfish	goldfish	NOUN
aiti-6939	59	3	and	and	CCONJ
aiti-6939	59	4	dog	dog	NOUN
aiti-6939	59	5	images	image	NOUN
aiti-6939	59	6	are	be	AUX
aiti-6939	59	7	defined	define	VERB
aiti-6939	59	8	as	as	ADP
aiti-6939	59	9	traditional	traditional	ADJ
aiti-6939	59	10	images	image	NOUN
aiti-6939	59	11	because	because	SCONJ
aiti-6939	59	12	they	they	PRON
aiti-6939	59	13	do	do	AUX
aiti-6939	59	14	not	not	PART
aiti-6939	59	15	include	include	VERB
aiti-6939	59	16	distributed	distribute	VERB
aiti-6939	59	17	objects	object	NOUN
aiti-6939	59	18	as	as	ADP
aiti-6939	59	19	targets	target	NOUN
aiti-6939	59	20	to	to	PART
aiti-6939	59	21	be	be	AUX
aiti-6939	59	22	classified	classify	VERB
aiti-6939	59	23	.	.	PUNCT
aiti-6939	60	1	the	the	DET
aiti-6939	60	2	result	result	NOUN
aiti-6939	60	3	of	of	ADP
aiti-6939	60	4	activation	activation	NOUN
aiti-6939	60	5	map	map	NOUN
aiti-6939	60	6	and	and	CCONJ
aiti-6939	60	7	saliency	saliency	NOUN
aiti-6939	60	8	map	map	NOUN
aiti-6939	60	9	shows	show	VERB
aiti-6939	60	10	that	that	SCONJ
aiti-6939	60	11	:	:	PUNCT
aiti-6939	60	12	for	for	ADP
aiti-6939	60	13	traditional	traditional	ADJ
aiti-6939	60	14	deep	deep	ADJ
aiti-6939	60	15	learning	learning	NOUN
aiti-6939	60	16	training	training	NOUN
aiti-6939	60	17	approach	approach	NOUN
aiti-6939	60	18	,	,	PUNCT
aiti-6939	60	19	the	the	DET
aiti-6939	60	20	model	model	NOUN
aiti-6939	60	21	initially	initially	ADV
aiti-6939	60	22	learns	learn	VERB
aiti-6939	60	23	the	the	DET
aiti-6939	60	24	low	low	ADJ
aiti-6939	60	25	level	level	NOUN
aiti-6939	60	26	local	local	ADJ
aiti-6939	60	27	features	feature	NOUN
aiti-6939	60	28	from	from	ADP
aiti-6939	60	29	the	the	DET
aiti-6939	60	30	image	image	NOUN
aiti-6939	60	31	,	,	PUNCT
aiti-6939	60	32	such	such	ADJ
aiti-6939	60	33	as	as	ADP
aiti-6939	60	34	edge	edge	NOUN
aiti-6939	60	35	and	and	CCONJ
aiti-6939	60	36	color	color	NOUN
aiti-6939	60	37	,	,	PUNCT
aiti-6939	60	38	then	then	ADV
aiti-6939	60	39	integrates	integrate	VERB
aiti-6939	60	40	these	these	DET
aiti-6939	60	41	low	low	ADJ
aiti-6939	60	42	level	level	NOUN
aiti-6939	60	43	local	local	ADJ
aiti-6939	60	44	features	feature	NOUN
aiti-6939	60	45	into	into	ADP
aiti-6939	60	46	high	high	ADJ
aiti-6939	60	47	level	level	NOUN
aiti-6939	60	48	features	feature	NOUN
aiti-6939	60	49	,	,	PUNCT
aiti-6939	60	50	such	such	ADJ
aiti-6939	60	51	as	as	ADP
aiti-6939	60	52	noses	nose	NOUN
aiti-6939	60	53	,	,	PUNCT
aiti-6939	60	54	eyes	eye	NOUN
aiti-6939	60	55	,	,	PUNCT
aiti-6939	60	56	and	and	CCONJ
aiti-6939	60	57	ears	ear	NOUN
aiti-6939	60	58	,	,	PUNCT
aiti-6939	60	59	and	and	CCONJ
aiti-6939	60	60	finally	finally	ADV
aiti-6939	60	61	recognizes	recognize	VERB
aiti-6939	60	62	the	the	DET
aiti-6939	60	63	image	image	NOUN
aiti-6939	60	64	as	as	ADP
aiti-6939	60	65	an	an	DET
aiti-6939	60	66	object	object	NOUN
aiti-6939	60	67	,	,	PUNCT
aiti-6939	60	68	such	such	ADJ
aiti-6939	60	69	as	as	ADP
aiti-6939	60	70	a	a	DET
aiti-6939	60	71	dog	dog	NOUN
aiti-6939	60	72	’s	’s	PART
aiti-6939	60	73	face	face	NOUN
aiti-6939	60	74	or	or	CCONJ
aiti-6939	60	75	a	a	DET
aiti-6939	60	76	goldfish	goldfish	NOUN
aiti-6939	60	77	.	.	PUNCT
aiti-6939	61	1	however	however	ADV
aiti-6939	61	2	,	,	PUNCT
aiti-6939	61	3	unlike	unlike	ADP
aiti-6939	61	4	traditional	traditional	ADJ
aiti-6939	61	5	images	image	NOUN
aiti-6939	61	6	,	,	PUNCT
aiti-6939	61	7	tea	tea	NOUN
aiti-6939	61	8	image	image	NOUN
aiti-6939	61	9	do	do	AUX
aiti-6939	61	10	not	not	PART
aiti-6939	61	11	have	have	VERB
aiti-6939	61	12	local	local	ADJ
aiti-6939	61	13	features	feature	NOUN
aiti-6939	61	14	,	,	PUNCT
aiti-6939	61	15	as	as	SCONJ
aiti-6939	61	16	shown	show	VERB
aiti-6939	61	17	in	in	ADP
aiti-6939	61	18	the	the	DET
aiti-6939	61	19	activation	activation	NOUN
aiti-6939	61	20	map	map	NOUN
aiti-6939	61	21	and	and	CCONJ
aiti-6939	61	22	saliency	saliency	NOUN
aiti-6939	61	23	map	map	NOUN
aiti-6939	61	24	.	.	PUNCT
aiti-6939	62	1	tea	tea	NOUN
aiti-6939	62	2	image	image	NOUN
aiti-6939	62	3	’s	’s	PART
aiti-6939	62	4	global	global	ADJ
aiti-6939	62	5	feature	feature	NOUN
aiti-6939	62	6	is	be	AUX
aiti-6939	62	7	distributed	distribute	VERB
aiti-6939	62	8	into	into	ADP
aiti-6939	62	9	many	many	ADJ
aiti-6939	62	10	objects	object	NOUN
aiti-6939	62	11	,	,	PUNCT
aiti-6939	62	12	such	such	ADJ
aiti-6939	62	13	as	as	ADP
aiti-6939	62	14	tea	tea	NOUN
aiti-6939	62	15	leaves	leave	NOUN
aiti-6939	62	16	and	and	CCONJ
aiti-6939	62	17	sticks	stick	NOUN
aiti-6939	62	18	.	.	PUNCT
aiti-6939	63	1	therefore	therefore	ADV
aiti-6939	63	2	,	,	PUNCT
aiti-6939	63	3	these	these	DET
aiti-6939	63	4	distributed	distribute	VERB
aiti-6939	63	5	objects	object	NOUN
aiti-6939	63	6	’	'	PUNCT
aiti-6939	63	7	feature	feature	NOUN
aiti-6939	63	8	need	need	VERB
aiti-6939	63	9	to	to	PART
aiti-6939	63	10	be	be	AUX
aiti-6939	63	11	captured	capture	VERB
aiti-6939	63	12	so	so	SCONJ
aiti-6939	63	13	that	that	SCONJ
aiti-6939	63	14	the	the	DET
aiti-6939	63	15	image	image	NOUN
aiti-6939	63	16	can	can	AUX
aiti-6939	63	17	be	be	AUX
aiti-6939	63	18	classified	classify	VERB
aiti-6939	63	19	into	into	ADP
aiti-6939	63	20	the	the	DET
aiti-6939	63	21	class	class	NOUN
aiti-6939	63	22	it	it	PRON
aiti-6939	63	23	belongs	belong	VERB
aiti-6939	63	24	to	to	ADP
aiti-6939	63	25	.	.	PUNCT
aiti-6939	64	1	fig	fig	NOUN
aiti-6939	64	2	.	.	PUNCT
aiti-6939	65	1	4	4	NUM
aiti-6939	65	2	activation	activation	NOUN
aiti-6939	65	3	map	map	NOUN
aiti-6939	65	4	and	and	CCONJ
aiti-6939	65	5	saliency	saliency	NOUN
aiti-6939	65	6	map	map	NOUN
aiti-6939	65	7	of	of	ADP
aiti-6939	65	8	gradcam++	gradcam++	NOUN
aiti-6939	65	9	and	and	CCONJ
aiti-6939	65	10	smoothgrad	smoothgrad	ADJ
aiti-6939	65	11	visualization	visualization	NOUN
aiti-6939	65	12	algorithms	algorithm	NOUN
aiti-6939	65	13	for	for	ADP
aiti-6939	65	14	the	the	DET
aiti-6939	65	15	second	second	ADJ
aiti-6939	65	16	observation	observation	NOUN
aiti-6939	66	1	,	,	PUNCT
aiti-6939	66	2	a	a	DET
aiti-6939	66	3	tea	tea	NOUN
aiti-6939	66	4	image	image	NOUN
aiti-6939	66	5	is	be	AUX
aiti-6939	66	6	cropped	crop	VERB
aiti-6939	66	7	into	into	ADP
aiti-6939	66	8	many	many	ADJ
aiti-6939	66	9	sub	sub	NOUN
aiti-6939	66	10	-	-	NOUN
aiti-6939	66	11	images	image	NOUN
aiti-6939	66	12	,	,	PUNCT
aiti-6939	66	13	and	and	CCONJ
aiti-6939	66	14	all	all	DET
aiti-6939	66	15	sub	sub	ADJ
aiti-6939	66	16	-	-	ADJ
aiti-6939	66	17	images	image	NOUN
aiti-6939	66	18	look	look	VERB
aiti-6939	66	19	similar	similar	ADJ
aiti-6939	66	20	(	(	PUNCT
aiti-6939	66	21	fig	fig	NOUN
aiti-6939	66	22	.	.	PUNCT
aiti-6939	67	1	5	5	NUM
aiti-6939	67	2	)	)	PUNCT
aiti-6939	67	3	.	.	PUNCT
aiti-6939	68	1	it	it	PRON
aiti-6939	68	2	can	can	AUX
aiti-6939	68	3	be	be	AUX
aiti-6939	68	4	seen	see	VERB
aiti-6939	68	5	that	that	SCONJ
aiti-6939	68	6	in	in	ADP
aiti-6939	68	7	a	a	DET
aiti-6939	68	8	hypothetical	hypothetical	ADJ
aiti-6939	68	9	feature	feature	NOUN
aiti-6939	68	10	space	space	NOUN
aiti-6939	68	11	,	,	PUNCT
aiti-6939	68	12	the	the	DET
aiti-6939	68	13	tea	tea	NOUN
aiti-6939	68	14	sub	sub	NOUN
aiti-6939	68	15	-	-	NOUN
aiti-6939	68	16	images	image	NOUN
aiti-6939	68	17	that	that	PRON
aiti-6939	68	18	belong	belong	VERB
aiti-6939	68	19	to	to	ADP
aiti-6939	68	20	the	the	DET
aiti-6939	68	21	same	same	ADJ
aiti-6939	68	22	image	image	NOUN
aiti-6939	68	23	should	should	AUX
aiti-6939	68	24	cluster	cluster	VERB
aiti-6939	68	25	together	together	ADV
aiti-6939	68	26	as	as	SCONJ
aiti-6939	68	27	their	their	PRON
aiti-6939	68	28	feature	feature	NOUN
aiti-6939	68	29	properties	property	NOUN
aiti-6939	68	30	are	be	AUX
aiti-6939	68	31	statistically	statistically	ADV
aiti-6939	68	32	similar	similar	ADJ
aiti-6939	68	33	.	.	PUNCT
aiti-6939	69	1	to	to	PART
aiti-6939	69	2	examine	examine	VERB
aiti-6939	69	3	this	this	DET
aiti-6939	69	4	idea	idea	NOUN
aiti-6939	69	5	,	,	PUNCT
aiti-6939	69	6	k	k	NOUN
aiti-6939	69	7	-	-	PUNCT
aiti-6939	69	8	means	mean	NOUN
aiti-6939	69	9	are	be	AUX
aiti-6939	69	10	used	use	VERB
aiti-6939	69	11	to	to	PART
aiti-6939	69	12	find	find	VERB
aiti-6939	69	13	the	the	DET
aiti-6939	69	14	five	five	NUM
aiti-6939	69	15	most	most	ADV
aiti-6939	69	16	significant	significant	ADJ
aiti-6939	69	17	colors	color	NOUN
aiti-6939	69	18	in	in	ADP
aiti-6939	69	19	the	the	DET
aiti-6939	69	20	two	two	NUM
aiti-6939	69	21	tea	tea	NOUN
aiti-6939	69	22	classes	class	NOUN
aiti-6939	69	23	(	(	PUNCT
aiti-6939	69	24	class	class	NOUN
aiti-6939	69	25	0	0	NUM
aiti-6939	69	26	and	and	CCONJ
aiti-6939	69	27	class	class	NOUN
aiti-6939	69	28	3	3	NUM
aiti-6939	69	29	)	)	PUNCT
aiti-6939	69	30	,	,	PUNCT
aiti-6939	69	31	and	and	CCONJ
aiti-6939	69	32	t	t	NOUN
aiti-6939	69	33	-	-	PUNCT
aiti-6939	69	34	distributed	distribute	VERB
aiti-6939	69	35	stochastic	stochastic	ADJ
aiti-6939	69	36	neighbor	neighbor	NOUN
aiti-6939	69	37	embedding	embed	VERB
aiti-6939	69	38	(	(	PUNCT
aiti-6939	69	39	t	t	PROPN
aiti-6939	69	40	-	-	PUNCT
aiti-6939	69	41	sne	sne	NOUN
aiti-6939	69	42	)	)	PUNCT
aiti-6939	69	43	algorithm	algorithm	NOUN
aiti-6939	69	44	is	be	AUX
aiti-6939	69	45	applied	apply	VERB
aiti-6939	69	46	to	to	PART
aiti-6939	69	47	plot	plot	VERB
aiti-6939	69	48	these	these	DET
aiti-6939	69	49	color	color	NOUN
aiti-6939	69	50	feature	feature	NOUN
aiti-6939	69	51	vectors	vector	NOUN
aiti-6939	69	52	on	on	ADP
aiti-6939	69	53	a	a	DET
aiti-6939	69	54	two	two	NUM
aiti-6939	69	55	-	-	PUNCT
aiti-6939	69	56	dimentional	dimentional	ADJ
aiti-6939	69	57	map	map	NOUN
aiti-6939	69	58	(	(	PUNCT
aiti-6939	69	59	fig	fig	NOUN
aiti-6939	69	60	.	.	PUNCT
aiti-6939	69	61	6	6	NUM
aiti-6939	69	62	)	)	PUNCT
aiti-6939	69	63	.	.	PUNCT
aiti-6939	70	1	each	each	DET
aiti-6939	70	2	dot	dot	NOUN
aiti-6939	70	3	in	in	ADP
aiti-6939	70	4	the	the	DET
aiti-6939	70	5	figure	figure	NOUN
aiti-6939	70	6	represents	represent	VERB
aiti-6939	70	7	a	a	DET
aiti-6939	70	8	single	single	ADJ
aiti-6939	70	9	sub	sub	NOUN
aiti-6939	70	10	-	-	NOUN
aiti-6939	70	11	image	image	NOUN
aiti-6939	70	12	.	.	PUNCT
aiti-6939	71	1	the	the	DET
aiti-6939	71	2	red	red	ADJ
aiti-6939	71	3	dots	dot	NOUN
aiti-6939	71	4	represent	represent	VERB
aiti-6939	71	5	class	class	NOUN
aiti-6939	71	6	0	0	NUM
aiti-6939	71	7	’s	’s	PART
aiti-6939	71	8	cropped	crop	VERB
aiti-6939	71	9	images	image	NOUN
aiti-6939	71	10	and	and	CCONJ
aiti-6939	71	11	the	the	DET
aiti-6939	71	12	blue	blue	ADJ
aiti-6939	71	13	dots	dot	NOUN
aiti-6939	71	14	represent	represent	VERB
aiti-6939	71	15	class	class	NOUN
aiti-6939	71	16	3	3	NUM
aiti-6939	71	17	’s	’s	PART
aiti-6939	71	18	sub	sub	NOUN
aiti-6939	71	19	-	-	NOUN
aiti-6939	71	20	images	image	NOUN
aiti-6939	71	21	.	.	PUNCT
aiti-6939	72	1	the	the	DET
aiti-6939	72	2	result	result	NOUN
aiti-6939	72	3	suggests	suggest	VERB
aiti-6939	72	4	that	that	SCONJ
aiti-6939	72	5	the	the	DET
aiti-6939	72	6	same	same	ADJ
aiti-6939	72	7	class	class	NOUN
aiti-6939	72	8	’s	’s	PART
aiti-6939	72	9	sub	sub	NOUN
aiti-6939	72	10	-	-	NOUN
aiti-6939	72	11	images	image	NOUN
aiti-6939	72	12	will	will	AUX
aiti-6939	72	13	cluster	cluster	VERB
aiti-6939	72	14	together	together	ADV
aiti-6939	72	15	in	in	ADP
aiti-6939	72	16	the	the	DET
aiti-6939	72	17	feature	feature	NOUN
aiti-6939	72	18	space	space	NOUN
aiti-6939	72	19	,	,	PUNCT
aiti-6939	72	20	and	and	CCONJ
aiti-6939	72	21	the	the	DET
aiti-6939	72	22	two	two	NUM
aiti-6939	72	23	tea	tea	NOUN
aiti-6939	72	24	classes	class	NOUN
aiti-6939	72	25	can	can	AUX
aiti-6939	72	26	be	be	AUX
aiti-6939	72	27	classified	classify	VERB
aiti-6939	72	28	by	by	ADP
aiti-6939	72	29	using	use	VERB
aiti-6939	72	30	only	only	ADV
aiti-6939	72	31	tea	tea	NOUN
aiti-6939	72	32	color	color	NOUN
aiti-6939	72	33	information	information	NOUN
aiti-6939	72	34	.	.	PUNCT
aiti-6939	73	1	201	201	NUM
aiti-6939	73	2	advances	advance	NOUN
aiti-6939	73	3	in	in	ADP
aiti-6939	73	4	technology	technology	NOUN
aiti-6939	73	5	innovation	innovation	NOUN
aiti-6939	73	6	,	,	PUNCT
aiti-6939	73	7	vol	vol	NOUN
aiti-6939	73	8	.	.	PROPN
aiti-6939	73	9	6	6	NUM
aiti-6939	73	10	,	,	PUNCT
aiti-6939	73	11	no	no	INTJ
aiti-6939	73	12	.	.	NOUN
aiti-6939	73	13	4	4	NUM
aiti-6939	73	14	,	,	PUNCT
aiti-6939	73	15	2021	2021	NUM
aiti-6939	73	16	,	,	PUNCT
aiti-6939	73	17	pp	pp	ADJ
aiti-6939	73	18	.	.	PUNCT
aiti-6939	73	19	199	199	NUM
aiti-6939	73	20	-	-	SYM
aiti-6939	73	21	212	212	NUM
aiti-6939	73	22	fig	fig	NOUN
aiti-6939	73	23	.	.	PUNCT
aiti-6939	74	1	5	5	NUM
aiti-6939	74	2	tea	tea	NOUN
aiti-6939	74	3	sub	sub	NOUN
aiti-6939	74	4	-	-	NOUN
aiti-6939	74	5	images	image	NOUN
aiti-6939	74	6	that	that	PRON
aiti-6939	74	7	belong	belong	VERB
aiti-6939	74	8	to	to	ADP
aiti-6939	74	9	the	the	DET
aiti-6939	74	10	same	same	ADJ
aiti-6939	74	11	image	image	NOUN
aiti-6939	74	12	fig	fig	NOUN
aiti-6939	74	13	.	.	PUNCT
aiti-6939	75	1	6	6	NUM
aiti-6939	75	2	t	t	PROPN
aiti-6939	75	3	-	-	PUNCT
aiti-6939	75	4	sne	sne	NOUN
aiti-6939	75	5	plot	plot	NOUN
aiti-6939	75	6	of	of	ADP
aiti-6939	75	7	two	two	NUM
aiti-6939	75	8	tea	tea	NOUN
aiti-6939	75	9	classes	class	NOUN
aiti-6939	75	10	using	use	VERB
aiti-6939	75	11	the	the	DET
aiti-6939	75	12	five	five	NUM
aiti-6939	75	13	most	most	ADV
aiti-6939	75	14	significant	significant	ADJ
aiti-6939	75	15	color	color	NOUN
aiti-6939	75	16	information	information	NOUN
aiti-6939	75	17	the	the	DET
aiti-6939	75	18	first	first	ADJ
aiti-6939	75	19	observation	observation	NOUN
aiti-6939	75	20	using	use	VERB
aiti-6939	75	21	model	model	NOUN
aiti-6939	75	22	visualization	visualization	NOUN
aiti-6939	75	23	algorithms	algorithm	NOUN
aiti-6939	75	24	shows	show	VERB
aiti-6939	75	25	that	that	SCONJ
aiti-6939	75	26	the	the	DET
aiti-6939	75	27	feature	feature	NOUN
aiti-6939	75	28	property	property	NOUN
aiti-6939	75	29	between	between	ADP
aiti-6939	75	30	tea	tea	NOUN
aiti-6939	75	31	image	image	NOUN
aiti-6939	75	32	and	and	CCONJ
aiti-6939	75	33	traditional	traditional	ADJ
aiti-6939	75	34	image	image	NOUN
aiti-6939	75	35	are	be	AUX
aiti-6939	75	36	different	different	ADJ
aiti-6939	75	37	,	,	PUNCT
aiti-6939	75	38	i.e.	i.e.	X
aiti-6939	75	39	,	,	PUNCT
aiti-6939	75	40	distributed	distribute	VERB
aiti-6939	75	41	objects	object	NOUN
aiti-6939	75	42	’	'	PUNCT
aiti-6939	75	43	feature	feature	NOUN
aiti-6939	75	44	property	property	NOUN
aiti-6939	75	45	(	(	PUNCT
aiti-6939	75	46	tea	tea	NOUN
aiti-6939	75	47	images	image	NOUN
aiti-6939	75	48	)	)	PUNCT
aiti-6939	75	49	versus	versus	ADP
aiti-6939	75	50	non	non	ADJ
aiti-6939	75	51	-	-	ADJ
aiti-6939	75	52	distributed	distributed	ADJ
aiti-6939	75	53	objects	object	NOUN
aiti-6939	75	54	’	'	PUNCT
aiti-6939	75	55	feature	feature	NOUN
aiti-6939	75	56	property	property	NOUN
aiti-6939	75	57	(	(	PUNCT
aiti-6939	75	58	traditional	traditional	ADJ
aiti-6939	75	59	images	image	NOUN
aiti-6939	75	60	)	)	PUNCT
aiti-6939	75	61	.	.	PUNCT
aiti-6939	76	1	the	the	DET
aiti-6939	76	2	second	second	ADJ
aiti-6939	76	3	observation	observation	NOUN
aiti-6939	76	4	using	use	VERB
aiti-6939	76	5	k	k	ADJ
aiti-6939	76	6	-	-	PUNCT
aiti-6939	76	7	means	mean	VERB
aiti-6939	76	8	clustering	cluster	VERB
aiti-6939	76	9	algorithm	algorithm	NOUN
aiti-6939	76	10	and	and	CCONJ
aiti-6939	76	11	t	t	PROPN
aiti-6939	76	12	-	-	PUNCT
aiti-6939	76	13	sne	sne	NOUN
aiti-6939	76	14	algorithm	algorithm	NOUN
aiti-6939	76	15	finds	find	VERB
aiti-6939	76	16	that	that	SCONJ
aiti-6939	76	17	tea	tea	NOUN
aiti-6939	76	18	sub	sub	NOUN
aiti-6939	76	19	-	-	NOUN
aiti-6939	76	20	images	image	NOUN
aiti-6939	76	21	which	which	PRON
aiti-6939	76	22	belong	belong	VERB
aiti-6939	76	23	to	to	ADP
aiti-6939	76	24	the	the	DET
aiti-6939	76	25	same	same	ADJ
aiti-6939	76	26	tea	tea	NOUN
aiti-6939	76	27	class	class	NOUN
aiti-6939	76	28	have	have	VERB
aiti-6939	76	29	similar	similar	ADJ
aiti-6939	76	30	feature	feature	NOUN
aiti-6939	76	31	property	property	NOUN
aiti-6939	76	32	,	,	PUNCT
aiti-6939	76	33	and	and	CCONJ
aiti-6939	76	34	suggests	suggest	VERB
aiti-6939	76	35	that	that	SCONJ
aiti-6939	76	36	:	:	PUNCT
aiti-6939	76	37	(	(	PUNCT
aiti-6939	76	38	1	1	X
aiti-6939	76	39	)	)	PUNCT
aiti-6939	76	40	small	small	ADJ
aiti-6939	76	41	sample	sample	NOUN
aiti-6939	76	42	size	size	NOUN
aiti-6939	76	43	problem	problem	NOUN
aiti-6939	76	44	may	may	AUX
aiti-6939	76	45	partially	partially	ADV
aiti-6939	76	46	be	be	AUX
aiti-6939	76	47	solved	solve	VERB
aiti-6939	76	48	by	by	ADP
aiti-6939	76	49	cropping	crop	VERB
aiti-6939	76	50	every	every	DET
aiti-6939	76	51	image	image	NOUN
aiti-6939	76	52	into	into	ADP
aiti-6939	76	53	sub	sub	NOUN
aiti-6939	76	54	-	-	NOUN
aiti-6939	76	55	images	image	NOUN
aiti-6939	76	56	without	without	ADP
aiti-6939	76	57	distorting	distort	VERB
aiti-6939	76	58	original	original	ADJ
aiti-6939	76	59	tea	tea	NOUN
aiti-6939	76	60	image	image	NOUN
aiti-6939	76	61	’s	’s	PART
aiti-6939	76	62	property	property	NOUN
aiti-6939	76	63	;	;	PUNCT
aiti-6939	76	64	(	(	PUNCT
aiti-6939	76	65	2	2	X
aiti-6939	76	66	)	)	PUNCT
aiti-6939	76	67	by	by	ADP
aiti-6939	76	68	leveraging	leverage	VERB
aiti-6939	76	69	tea	tea	NOUN
aiti-6939	76	70	image	image	NOUN
aiti-6939	76	71	’s	’s	PART
aiti-6939	76	72	unique	unique	ADJ
aiti-6939	76	73	characteristics	characteristic	NOUN
aiti-6939	76	74	,	,	PUNCT
aiti-6939	76	75	a	a	DET
aiti-6939	76	76	new	new	ADJ
aiti-6939	76	77	prediction	prediction	NOUN
aiti-6939	76	78	method	method	NOUN
aiti-6939	76	79	can	can	AUX
aiti-6939	76	80	be	be	AUX
aiti-6939	76	81	used	use	VERB
aiti-6939	76	82	to	to	PART
aiti-6939	76	83	improve	improve	VERB
aiti-6939	76	84	model	model	NOUN
aiti-6939	76	85	’s	’s	PART
aiti-6939	76	86	performance	performance	NOUN
aiti-6939	76	87	(	(	PUNCT
aiti-6939	76	88	see	see	VERB
aiti-6939	76	89	section	section	NOUN
aiti-6939	76	90	5.3	5.3	NUM
aiti-6939	76	91	.	.	PUNCT
aiti-6939	76	92	)	)	PUNCT
aiti-6939	76	93	.	.	PUNCT
aiti-6939	77	1	these	these	DET
aiti-6939	77	2	two	two	NUM
aiti-6939	77	3	observations	observation	NOUN
aiti-6939	77	4	support	support	VERB
aiti-6939	77	5	the	the	DET
aiti-6939	77	6	idea	idea	NOUN
aiti-6939	77	7	that	that	SCONJ
aiti-6939	77	8	there	there	PRON
aiti-6939	77	9	exist	exist	VERB
aiti-6939	77	10	some	some	DET
aiti-6939	77	11	distinct	distinct	ADJ
aiti-6939	77	12	properties	property	NOUN
aiti-6939	77	13	between	between	ADP
aiti-6939	77	14	traditional	traditional	ADJ
aiti-6939	77	15	images	image	NOUN
aiti-6939	77	16	and	and	CCONJ
aiti-6939	77	17	tea	tea	NOUN
aiti-6939	77	18	images	image	NOUN
aiti-6939	77	19	thus	thus	ADV
aiti-6939	77	20	traditional	traditional	ADJ
aiti-6939	77	21	deep	deep	ADJ
aiti-6939	77	22	learning	learning	NOUN
aiti-6939	77	23	training	training	NOUN
aiti-6939	77	24	approach	approach	NOUN
aiti-6939	77	25	is	be	AUX
aiti-6939	77	26	not	not	PART
aiti-6939	77	27	suitable	suitable	ADJ
aiti-6939	77	28	to	to	PART
aiti-6939	77	29	train	train	VERB
aiti-6939	77	30	tea	tea	NOUN
aiti-6939	77	31	images	image	NOUN
aiti-6939	77	32	.	.	PUNCT
aiti-6939	78	1	3	3	X
aiti-6939	78	2	.	.	X
aiti-6939	78	3	dataset	dataset	NOUN
aiti-6939	78	4	there	there	PRON
aiti-6939	78	5	are	be	VERB
aiti-6939	78	6	six	six	NUM
aiti-6939	78	7	high	high	ADJ
aiti-6939	78	8	-	-	PUNCT
aiti-6939	78	9	mountain	mountain	NOUN
aiti-6939	78	10	oolong	oolong	NOUN
aiti-6939	78	11	tea	tea	NOUN
aiti-6939	78	12	classes	class	NOUN
aiti-6939	78	13	’	'	PUNCT
aiti-6939	78	14	samples	sample	NOUN
aiti-6939	78	15	collected	collect	VERB
aiti-6939	78	16	in	in	ADP
aiti-6939	78	17	the	the	DET
aiti-6939	78	18	study	study	NOUN
aiti-6939	78	19	(	(	PUNCT
aiti-6939	78	20	table	table	NOUN
aiti-6939	78	21	3	3	NUM
aiti-6939	78	22	and	and	CCONJ
aiti-6939	78	23	fig	fig	NOUN
aiti-6939	78	24	.	.	PUNCT
aiti-6939	79	1	7	7	NUM
aiti-6939	79	2	)	)	PUNCT
aiti-6939	79	3	.	.	PUNCT
aiti-6939	80	1	each	each	DET
aiti-6939	80	2	tea	tea	NOUN
aiti-6939	80	3	class	class	NOUN
aiti-6939	80	4	has	have	VERB
aiti-6939	80	5	60	60	NUM
aiti-6939	80	6	images	image	NOUN
aiti-6939	80	7	.	.	PUNCT
aiti-6939	81	1	48	48	NUM
aiti-6939	81	2	images	image	NOUN
aiti-6939	81	3	are	be	AUX
aiti-6939	81	4	split	split	VERB
aiti-6939	81	5	for	for	ADP
aiti-6939	81	6	training	training	NOUN
aiti-6939	81	7	set	set	NOUN
aiti-6939	81	8	,	,	PUNCT
aiti-6939	81	9	6	6	NUM
aiti-6939	81	10	images	image	NOUN
aiti-6939	81	11	are	be	AUX
aiti-6939	81	12	split	split	VERB
aiti-6939	81	13	for	for	ADP
aiti-6939	81	14	validation	validation	NOUN
aiti-6939	81	15	set	set	NOUN
aiti-6939	81	16	,	,	PUNCT
aiti-6939	81	17	and	and	CCONJ
aiti-6939	81	18	6	6	NUM
aiti-6939	81	19	images	image	NOUN
aiti-6939	81	20	are	be	AUX
aiti-6939	81	21	split	split	VERB
aiti-6939	81	22	for	for	ADP
aiti-6939	81	23	testing	testing	NOUN
aiti-6939	81	24	set	set	VERB
aiti-6939	81	25	.	.	PUNCT
aiti-6939	82	1	there	there	PRON
aiti-6939	82	2	are	be	VERB
aiti-6939	82	3	several	several	ADJ
aiti-6939	82	4	reasons	reason	NOUN
aiti-6939	82	5	that	that	PRON
aiti-6939	82	6	make	make	VERB
aiti-6939	82	7	this	this	PRON
aiti-6939	82	8	dataset	dataset	NOUN
aiti-6939	82	9	a	a	DET
aiti-6939	82	10	challenging	challenging	ADJ
aiti-6939	82	11	model	model	NOUN
aiti-6939	82	12	training	training	NOUN
aiti-6939	82	13	task	task	NOUN
aiti-6939	82	14	for	for	ADP
aiti-6939	82	15	tea	tea	NOUN
aiti-6939	82	16	image	image	NOUN
aiti-6939	82	17	classification	classification	NOUN
aiti-6939	82	18	comparing	compare	VERB
aiti-6939	82	19	to	to	ADP
aiti-6939	82	20	the	the	DET
aiti-6939	82	21	datasets	dataset	NOUN
aiti-6939	82	22	of	of	ADP
aiti-6939	82	23	previous	previous	ADJ
aiti-6939	82	24	tea	tea	NOUN
aiti-6939	82	25	image	image	NOUN
aiti-6939	82	26	classification	classification	NOUN
aiti-6939	82	27	studies	study	NOUN
aiti-6939	82	28	[	[	X
aiti-6939	82	29	4	4	NUM
aiti-6939	82	30	-	-	SYM
aiti-6939	82	31	5	5	NUM
aiti-6939	82	32	,	,	PUNCT
aiti-6939	82	33	13	13	NUM
aiti-6939	82	34	-	-	SYM
aiti-6939	82	35	16	16	NUM
aiti-6939	82	36	]	]	PUNCT
aiti-6939	82	37	.	.	PUNCT
aiti-6939	83	1	first	first	ADV
aiti-6939	83	2	,	,	PUNCT
aiti-6939	83	3	all	all	DET
aiti-6939	83	4	tea	tea	NOUN
aiti-6939	83	5	classes	class	NOUN
aiti-6939	83	6	belong	belong	VERB
aiti-6939	83	7	to	to	ADP
aiti-6939	83	8	the	the	DET
aiti-6939	83	9	same	same	ADJ
aiti-6939	83	10	tea	tea	NOUN
aiti-6939	83	11	type	type	NOUN
aiti-6939	83	12	(	(	PUNCT
aiti-6939	83	13	high	high	ADJ
aiti-6939	83	14	-	-	PUNCT
aiti-6939	83	15	mountain	mountain	NOUN
aiti-6939	83	16	oolong	oolong	PROPN
aiti-6939	83	17	tea	tea	PROPN
aiti-6939	83	18	)	)	PUNCT
aiti-6939	83	19	,	,	PUNCT
aiti-6939	83	20	meaning	mean	VERB
aiti-6939	83	21	that	that	SCONJ
aiti-6939	83	22	all	all	DET
aiti-6939	83	23	tea	tea	NOUN
aiti-6939	83	24	classes	class	NOUN
aiti-6939	83	25	have	have	VERB
aiti-6939	83	26	the	the	DET
aiti-6939	83	27	same	same	ADJ
aiti-6939	83	28	tea	tea	NOUN
aiti-6939	83	29	product	product	NOUN
aiti-6939	83	30	processing	processing	NOUN
aiti-6939	83	31	procedure	procedure	NOUN
aiti-6939	83	32	.	.	PUNCT
aiti-6939	84	1	second	second	ADJ
aiti-6939	84	2	,	,	PUNCT
aiti-6939	84	3	among	among	ADP
aiti-6939	84	4	tea	tea	NOUN
aiti-6939	84	5	classes	class	NOUN
aiti-6939	84	6	,	,	PUNCT
aiti-6939	84	7	only	only	ADV
aiti-6939	84	8	class	class	NOUN
aiti-6939	84	9	3	3	NUM
aiti-6939	84	10	has	have	VERB
aiti-6939	84	11	different	different	ADJ
aiti-6939	84	12	tea	tea	NOUN
aiti-6939	84	13	varieties	variety	NOUN
aiti-6939	84	14	.	.	PUNCT
aiti-6939	85	1	in	in	ADP
aiti-6939	85	2	addition	addition	NOUN
aiti-6939	85	3	,	,	PUNCT
aiti-6939	85	4	tea	tea	NOUN
aiti-6939	85	5	class	class	NOUN
aiti-6939	85	6	0	0	NUM
aiti-6939	85	7	,	,	PUNCT
aiti-6939	85	8	1	1	NUM
aiti-6939	85	9	,	,	PUNCT
aiti-6939	85	10	and	and	CCONJ
aiti-6939	85	11	2	2	NUM
aiti-6939	85	12	belong	belong	VERB
aiti-6939	85	13	to	to	ADP
aiti-6939	85	14	the	the	DET
aiti-6939	85	15	same	same	ADJ
aiti-6939	85	16	tea	tea	NOUN
aiti-6939	85	17	variety	variety	NOUN
aiti-6939	85	18	and	and	CCONJ
aiti-6939	85	19	they	they	PRON
aiti-6939	85	20	are	be	AUX
aiti-6939	85	21	planted	plant	VERB
aiti-6939	85	22	in	in	ADP
aiti-6939	85	23	the	the	DET
aiti-6939	85	24	same	same	ADJ
aiti-6939	85	25	mountain	mountain	NOUN
aiti-6939	85	26	;	;	PUNCT
aiti-6939	85	27	the	the	DET
aiti-6939	85	28	only	only	ADJ
aiti-6939	85	29	difference	difference	NOUN
aiti-6939	85	30	among	among	ADP
aiti-6939	85	31	them	they	PRON
aiti-6939	85	32	is	be	AUX
aiti-6939	85	33	their	their	PRON
aiti-6939	85	34	mountain	mountain	NOUN
aiti-6939	85	35	adrets	adret	NOUN
aiti-6939	85	36	,	,	PUNCT
aiti-6939	85	37	meaning	mean	VERB
aiti-6939	85	38	that	that	SCONJ
aiti-6939	85	39	they	they	PRON
aiti-6939	85	40	receive	receive	VERB
aiti-6939	85	41	different	different	ADJ
aiti-6939	85	42	sunlight	sunlight	NOUN
aiti-6939	85	43	degrees	degree	NOUN
aiti-6939	85	44	and	and	CCONJ
aiti-6939	85	45	angles	angle	NOUN
aiti-6939	85	46	while	while	SCONJ
aiti-6939	85	47	growing	grow	VERB
aiti-6939	85	48	.	.	PUNCT
aiti-6939	86	1	finally	finally	ADV
aiti-6939	86	2	,	,	PUNCT
aiti-6939	86	3	the	the	DET
aiti-6939	86	4	small	small	ADJ
aiti-6939	86	5	data	datum	NOUN
aiti-6939	86	6	sample	sample	NOUN
aiti-6939	86	7	size	size	NOUN
aiti-6939	86	8	is	be	AUX
aiti-6939	86	9	challenging	challenging	ADJ
aiti-6939	86	10	.	.	PUNCT
aiti-6939	87	1	it	it	PRON
aiti-6939	87	2	is	be	AUX
aiti-6939	87	3	known	know	VERB
aiti-6939	87	4	that	that	SCONJ
aiti-6939	87	5	deep	deep	ADJ
aiti-6939	87	6	learning	learning	NOUN
aiti-6939	87	7	models	model	NOUN
aiti-6939	87	8	perform	perform	VERB
aiti-6939	87	9	well	well	ADV
aiti-6939	87	10	when	when	SCONJ
aiti-6939	87	11	trained	train	VERB
aiti-6939	87	12	with	with	ADP
aiti-6939	87	13	large	large	ADJ
aiti-6939	87	14	amount	amount	NOUN
aiti-6939	87	15	of	of	ADP
aiti-6939	87	16	data	datum	NOUN
aiti-6939	87	17	and	and	CCONJ
aiti-6939	87	18	perform	perform	VERB
aiti-6939	87	19	poorly	poorly	ADV
aiti-6939	87	20	when	when	SCONJ
aiti-6939	87	21	the	the	DET
aiti-6939	87	22	training	training	NOUN
aiti-6939	87	23	data	datum	NOUN
aiti-6939	87	24	size	size	NOUN
aiti-6939	87	25	is	be	AUX
aiti-6939	87	26	small	small	ADJ
aiti-6939	87	27	,	,	PUNCT
aiti-6939	87	28	so	so	ADV
aiti-6939	87	29	why	why	SCONJ
aiti-6939	87	30	in	in	ADP
aiti-6939	87	31	this	this	DET
aiti-6939	87	32	study	study	NOUN
aiti-6939	87	33	the	the	DET
aiti-6939	87	34	small	small	ADJ
aiti-6939	87	35	sample	sample	NOUN
aiti-6939	87	36	size	size	NOUN
aiti-6939	87	37	dataset	dataset	NOUN
aiti-6939	87	38	is	be	AUX
aiti-6939	87	39	used	use	VERB
aiti-6939	87	40	to	to	PART
aiti-6939	87	41	train	train	VERB
aiti-6939	87	42	model	model	NOUN
aiti-6939	87	43	?	?	PUNCT
aiti-6939	88	1	the	the	DET
aiti-6939	88	2	main	main	ADJ
aiti-6939	88	3	reason	reason	NOUN
aiti-6939	88	4	is	be	AUX
aiti-6939	88	5	that	that	SCONJ
aiti-6939	88	6	this	this	DET
aiti-6939	88	7	study	study	NOUN
aiti-6939	88	8	’s	’s	PART
aiti-6939	88	9	application	application	NOUN
aiti-6939	88	10	scenario	scenario	NOUN
aiti-6939	88	11	is	be	AUX
aiti-6939	88	12	for	for	ADP
aiti-6939	88	13	smallholder	smallholder	NOUN
aiti-6939	88	14	tea	tea	NOUN
aiti-6939	88	15	farmers	farmer	NOUN
aiti-6939	88	16	whose	whose	DET
aiti-6939	88	17	tea	tea	NOUN
aiti-6939	88	18	products	product	NOUN
aiti-6939	88	19	often	often	ADV
aiti-6939	88	20	go	go	VERB
aiti-6939	88	21	through	through	ADP
aiti-6939	88	22	middlemen	middleman	NOUN
aiti-6939	88	23	before	before	ADP
aiti-6939	88	24	reach	reach	VERB
aiti-6939	88	25	consumers	consumer	NOUN
aiti-6939	88	26	,	,	PUNCT
aiti-6939	88	27	thus	thus	ADV
aiti-6939	88	28	the	the	DET
aiti-6939	88	29	amount	amount	NOUN
aiti-6939	88	30	of	of	ADP
aiti-6939	88	31	tea	tea	NOUN
aiti-6939	88	32	products	product	NOUN
aiti-6939	88	33	each	each	DET
aiti-6939	88	34	farmer	farmer	NOUN
aiti-6939	88	35	can	can	AUX
aiti-6939	88	36	produce	produce	VERB
aiti-6939	88	37	for	for	ADP
aiti-6939	88	38	every	every	DET
aiti-6939	88	39	season	season	NOUN
aiti-6939	88	40	is	be	AUX
aiti-6939	88	41	low	low	ADJ
aiti-6939	88	42	.	.	PUNCT
aiti-6939	89	1	therefore	therefore	ADV
aiti-6939	89	2	,	,	PUNCT
aiti-6939	89	3	it	it	PRON
aiti-6939	89	4	is	be	AUX
aiti-6939	89	5	reasonable	reasonable	ADJ
aiti-6939	89	6	to	to	PART
aiti-6939	89	7	expect	expect	VERB
aiti-6939	89	8	that	that	SCONJ
aiti-6939	89	9	the	the	DET
aiti-6939	89	10	amount	amount	NOUN
aiti-6939	89	11	of	of	ADP
aiti-6939	89	12	image	image	NOUN
aiti-6939	89	13	data	datum	NOUN
aiti-6939	89	14	obtained	obtain	VERB
aiti-6939	89	15	from	from	ADP
aiti-6939	89	16	original	original	ADJ
aiti-6939	89	17	tea	tea	NOUN
aiti-6939	89	18	products	product	NOUN
aiti-6939	89	19	is	be	AUX
aiti-6939	89	20	rather	rather	ADV
aiti-6939	89	21	little	little	ADJ
aiti-6939	89	22	.	.	PUNCT
aiti-6939	90	1	202	202	NUM
aiti-6939	90	2	advances	advance	NOUN
aiti-6939	90	3	in	in	ADP
aiti-6939	90	4	technology	technology	NOUN
aiti-6939	90	5	innovation	innovation	NOUN
aiti-6939	90	6	,	,	PUNCT
aiti-6939	90	7	vol	vol	NOUN
aiti-6939	90	8	.	.	PROPN
aiti-6939	90	9	6	6	NUM
aiti-6939	90	10	,	,	PUNCT
aiti-6939	90	11	no	no	INTJ
aiti-6939	90	12	.	.	NOUN
aiti-6939	90	13	4	4	NUM
aiti-6939	90	14	,	,	PUNCT
aiti-6939	90	15	2021	2021	NUM
aiti-6939	90	16	,	,	PUNCT
aiti-6939	90	17	pp	pp	ADJ
aiti-6939	90	18	.	.	PUNCT
aiti-6939	91	1	199	199	NUM
aiti-6939	91	2	-	-	SYM
aiti-6939	91	3	212	212	NUM
aiti-6939	91	4	table	table	NOUN
aiti-6939	91	5	3	3	NUM
aiti-6939	91	6	information	information	NOUN
aiti-6939	91	7	of	of	ADP
aiti-6939	91	8	six	six	NUM
aiti-6939	91	9	high	high	ADJ
aiti-6939	91	10	-	-	PUNCT
aiti-6939	91	11	mountain	mountain	NOUN
aiti-6939	91	12	oolong	oolong	NOUN
aiti-6939	91	13	tea	tea	NOUN
aiti-6939	91	14	classes	class	NOUN
aiti-6939	91	15	tea	tea	NOUN
aiti-6939	91	16	classes	class	NOUN
aiti-6939	91	17	tea	tea	NOUN
aiti-6939	91	18	varieties	variety	NOUN
aiti-6939	91	19	places	place	NOUN
aiti-6939	91	20	of	of	ADP
aiti-6939	91	21	origin	origin	NOUN
aiti-6939	91	22	note	note	NOUN
aiti-6939	91	23	class	class	NOUN
aiti-6939	91	24	0	0	NUM
aiti-6939	91	25	chin	chin	NOUN
aiti-6939	91	26	-	-	PUNCT
aiti-6939	91	27	shin	shin	NOUN
aiti-6939	91	28	-	-	PUNCT
aiti-6939	91	29	oolong	oolong	PROPN
aiti-6939	91	30	hehuan	hehuan	PROPN
aiti-6939	91	31	mountain	mountain	NOUN
aiti-6939	91	32	,	,	PUNCT
aiti-6939	91	33	nantou	nantou	PROPN
aiti-6939	91	34	county	county	PROPN
aiti-6939	91	35	adret	adret	NOUN
aiti-6939	91	36	:	:	PUNCT
aiti-6939	91	37	north	north	NOUN
aiti-6939	91	38	class	class	NOUN
aiti-6939	91	39	1	1	NUM
aiti-6939	91	40	chin	chin	NOUN
aiti-6939	91	41	-	-	PUNCT
aiti-6939	91	42	shin	shin	NOUN
aiti-6939	91	43	-	-	PUNCT
aiti-6939	91	44	oolong	oolong	PROPN
aiti-6939	91	45	hehuan	hehuan	PROPN
aiti-6939	91	46	mountain	mountain	NOUN
aiti-6939	91	47	,	,	PUNCT
aiti-6939	91	48	nantou	nantou	PROPN
aiti-6939	91	49	county	county	PROPN
aiti-6939	91	50	adret	adret	NOUN
aiti-6939	91	51	:	:	PUNCT
aiti-6939	91	52	east	east	ADJ
aiti-6939	91	53	class	class	NOUN
aiti-6939	91	54	2	2	NUM
aiti-6939	91	55	chin	chin	NOUN
aiti-6939	91	56	-	-	PUNCT
aiti-6939	91	57	shin	shin	NOUN
aiti-6939	91	58	-	-	PUNCT
aiti-6939	91	59	oolong	oolong	PROPN
aiti-6939	91	60	hehuan	hehuan	PROPN
aiti-6939	91	61	mountain	mountain	NOUN
aiti-6939	91	62	,	,	PUNCT
aiti-6939	91	63	nantou	nantou	PROPN
aiti-6939	91	64	county	county	PROPN
aiti-6939	91	65	adret	adret	NOUN
aiti-6939	91	66	:	:	PUNCT
aiti-6939	91	67	southwest	southwest	NOUN
aiti-6939	91	68	class	class	NOUN
aiti-6939	91	69	3	3	NUM
aiti-6939	91	70	taiwan	taiwan	PROPN
aiti-6939	91	71	tea	tea	NOUN
aiti-6939	91	72	experiment	experiment	NOUN
aiti-6939	91	73	station	station	NOUN
aiti-6939	91	74	(	(	PUNCT
aiti-6939	91	75	ttes	tte	NOUN
aiti-6939	91	76	)	)	PUNCT
aiti-6939	91	77	no	no	NOUN
aiti-6939	91	78	.	.	NOUN
aiti-6939	91	79	12	12	NUM
aiti-6939	91	80	zhushan	zhushan	PROPN
aiti-6939	91	81	township	township	PROPN
aiti-6939	91	82	,	,	PUNCT
aiti-6939	91	83	nantou	nantou	PROPN
aiti-6939	91	84	county	county	PROPN
aiti-6939	91	85	class	class	NOUN
aiti-6939	91	86	4	4	NUM
aiti-6939	91	87	chin	chin	NOUN
aiti-6939	91	88	-	-	PUNCT
aiti-6939	91	89	shin	shin	NOUN
aiti-6939	91	90	-	-	PUNCT
aiti-6939	91	91	oolong	oolong	PROPN
aiti-6939	91	92	ali	ali	PROPN
aiti-6939	91	93	mountain	mountain	PROPN
aiti-6939	91	94	,	,	PUNCT
aiti-6939	91	95	chiayi	chiayi	X
aiti-6939	91	96	county	county	NOUN
aiti-6939	91	97	class	class	NOUN
aiti-6939	91	98	5	5	NUM
aiti-6939	91	99	chin	chin	NOUN
aiti-6939	91	100	-	-	PUNCT
aiti-6939	91	101	shin	shin	NOUN
aiti-6939	91	102	-	-	PUNCT
aiti-6939	91	103	oolong	oolong	NOUN
aiti-6939	91	104	lugu	lugu	PROPN
aiti-6939	91	105	township	township	NOUN
aiti-6939	91	106	,	,	PUNCT
aiti-6939	91	107	nantou	nantou	PROPN
aiti-6939	91	108	county	county	PROPN
aiti-6939	91	109	(	(	PUNCT
aiti-6939	91	110	a	a	NOUN
aiti-6939	91	111	)	)	PUNCT
aiti-6939	91	112	class	class	NOUN
aiti-6939	91	113	0	0	NUM
aiti-6939	91	114	(	(	PUNCT
aiti-6939	91	115	b	b	NOUN
aiti-6939	91	116	)	)	PUNCT
aiti-6939	91	117	class	class	NOUN
aiti-6939	91	118	1	1	NUM
aiti-6939	91	119	(	(	PUNCT
aiti-6939	91	120	c	c	NOUN
aiti-6939	91	121	)	)	PUNCT
aiti-6939	91	122	class	class	NOUN
aiti-6939	91	123	2	2	NUM
aiti-6939	91	124	(	(	PUNCT
aiti-6939	91	125	d	d	NOUN
aiti-6939	91	126	)	)	PUNCT
aiti-6939	91	127	class	class	NOUN
aiti-6939	91	128	3	3	NUM
aiti-6939	91	129	(	(	PUNCT
aiti-6939	91	130	e	e	NOUN
aiti-6939	91	131	)	)	PUNCT
aiti-6939	91	132	class	class	NOUN
aiti-6939	91	133	4	4	NUM
aiti-6939	91	134	(	(	PUNCT
aiti-6939	91	135	f	f	X
aiti-6939	91	136	)	)	PUNCT
aiti-6939	91	137	class	class	NOUN
aiti-6939	91	138	5	5	NUM
aiti-6939	91	139	fig	fig	NOUN
aiti-6939	91	140	.	.	PUNCT
aiti-6939	92	1	7	7	NUM
aiti-6939	92	2	images	image	NOUN
aiti-6939	92	3	of	of	ADP
aiti-6939	92	4	six	six	NUM
aiti-6939	92	5	high	high	ADJ
aiti-6939	92	6	-	-	PUNCT
aiti-6939	92	7	mountain	mountain	NOUN
aiti-6939	92	8	oolong	oolong	NOUN
aiti-6939	92	9	tea	tea	NOUN
aiti-6939	92	10	classes	class	NOUN
aiti-6939	92	11	4	4	NUM
aiti-6939	92	12	.	.	PUNCT
aiti-6939	92	13	experiment	experiment	NOUN
aiti-6939	92	14	design	design	NOUN
aiti-6939	92	15	fig	fig	NOUN
aiti-6939	92	16	.	.	PUNCT
aiti-6939	93	1	8	8	NUM
aiti-6939	93	2	shows	show	VERB
aiti-6939	93	3	the	the	DET
aiti-6939	93	4	overflow	overflow	NOUN
aiti-6939	93	5	of	of	ADP
aiti-6939	93	6	the	the	DET
aiti-6939	93	7	proposed	propose	VERB
aiti-6939	93	8	approach	approach	NOUN
aiti-6939	93	9	to	to	PART
aiti-6939	93	10	solve	solve	VERB
aiti-6939	93	11	model	model	NOUN
aiti-6939	93	12	convergence	convergence	NOUN
aiti-6939	93	13	problem	problem	NOUN
aiti-6939	93	14	.	.	PUNCT
aiti-6939	94	1	this	this	DET
aiti-6939	94	2	approach	approach	NOUN
aiti-6939	94	3	has	have	VERB
aiti-6939	94	4	five	five	NUM
aiti-6939	94	5	stages	stage	NOUN
aiti-6939	94	6	:	:	PUNCT
aiti-6939	94	7	image	image	NOUN
aiti-6939	94	8	acquisition	acquisition	NOUN
aiti-6939	94	9	,	,	PUNCT
aiti-6939	94	10	image	image	NOUN
aiti-6939	94	11	pre	pre	ADJ
aiti-6939	94	12	-	-	ADJ
aiti-6939	94	13	processing	processing	ADJ
aiti-6939	94	14	,	,	PUNCT
aiti-6939	94	15	model	model	NOUN
aiti-6939	94	16	training	training	NOUN
aiti-6939	94	17	,	,	PUNCT
aiti-6939	94	18	and	and	CCONJ
aiti-6939	94	19	model	model	NOUN
aiti-6939	94	20	evaluation	evaluation	NOUN
aiti-6939	94	21	.	.	PUNCT
aiti-6939	95	1	there	there	PRON
aiti-6939	95	2	are	be	VERB
aiti-6939	95	3	three	three	NUM
aiti-6939	95	4	innovative	innovative	ADJ
aiti-6939	95	5	parts	part	NOUN
aiti-6939	95	6	in	in	ADP
aiti-6939	95	7	the	the	DET
aiti-6939	95	8	proposed	propose	VERB
aiti-6939	95	9	approach	approach	NOUN
aiti-6939	95	10	.	.	PUNCT
aiti-6939	96	1	first	first	ADV
aiti-6939	96	2	,	,	PUNCT
aiti-6939	96	3	in	in	ADP
aiti-6939	96	4	image	image	NOUN
aiti-6939	96	5	pre	pre	ADJ
aiti-6939	96	6	-	-	ADJ
aiti-6939	96	7	processing	processing	ADJ
aiti-6939	96	8	stage	stage	NOUN
aiti-6939	96	9	,	,	PUNCT
aiti-6939	96	10	a	a	DET
aiti-6939	96	11	tea	tea	NOUN
aiti-6939	96	12	image	image	NOUN
aiti-6939	96	13	cropping	cropping	NOUN
aiti-6939	96	14	process	process	NOUN
aiti-6939	96	15	is	be	AUX
aiti-6939	96	16	added	add	VERB
aiti-6939	96	17	to	to	PART
aiti-6939	96	18	get	get	VERB
aiti-6939	96	19	tea	tea	NOUN
aiti-6939	96	20	sub	sub	NOUN
aiti-6939	96	21	-	-	NOUN
aiti-6939	96	22	images	image	NOUN
aiti-6939	96	23	.	.	PUNCT
aiti-6939	97	1	second	second	ADJ
aiti-6939	97	2	,	,	PUNCT
aiti-6939	97	3	in	in	ADP
aiti-6939	97	4	model	model	NOUN
aiti-6939	97	5	training	training	NOUN
aiti-6939	97	6	stage	stage	NOUN
aiti-6939	97	7	,	,	PUNCT
aiti-6939	97	8	convolutional	convolutional	ADJ
aiti-6939	97	9	neural	neural	ADJ
aiti-6939	97	10	network	network	NOUN
aiti-6939	97	11	(	(	PUNCT
aiti-6939	97	12	pre	pre	ADJ
aiti-6939	97	13	-	-	ADJ
aiti-6939	97	14	trained	train	VERB
aiti-6939	97	15	inceptionv3	inceptionv3	NOUN
aiti-6939	97	16	model	model	NOUN
aiti-6939	97	17	)	)	PUNCT
aiti-6939	97	18	and	and	CCONJ
aiti-6939	97	19	xgboost	xgboost	ADV
aiti-6939	97	20	(	(	PUNCT
aiti-6939	97	21	extreme	extreme	ADJ
aiti-6939	97	22	gradient	gradient	NOUN
aiti-6939	97	23	boost	boost	NOUN
aiti-6939	97	24	tree	tree	NOUN
aiti-6939	97	25	)	)	PUNCT
aiti-6939	97	26	algorithm	algorithm	NOUN
aiti-6939	98	1	[	[	X
aiti-6939	98	2	3	3	NUM
aiti-6939	98	3	]	]	PUNCT
aiti-6939	98	4	are	be	AUX
aiti-6939	98	5	combined	combine	VERB
aiti-6939	98	6	as	as	ADP
aiti-6939	98	7	a	a	DET
aiti-6939	98	8	single	single	ADJ
aiti-6939	98	9	model	model	NOUN
aiti-6939	98	10	.	.	PUNCT
aiti-6939	99	1	third	third	ADJ
aiti-6939	99	2	,	,	PUNCT
aiti-6939	99	3	in	in	ADP
aiti-6939	99	4	model	model	NOUN
aiti-6939	99	5	evaluation	evaluation	NOUN
aiti-6939	99	6	stage	stage	NOUN
aiti-6939	99	7	,	,	PUNCT
aiti-6939	99	8	instead	instead	ADV
aiti-6939	99	9	of	of	ADP
aiti-6939	99	10	inputting	inputte	VERB
aiti-6939	99	11	sub	sub	NOUN
aiti-6939	99	12	-	-	NOUN
aiti-6939	99	13	images	image	NOUN
aiti-6939	99	14	directly	directly	ADV
aiti-6939	99	15	to	to	ADP
aiti-6939	99	16	the	the	DET
aiti-6939	99	17	trained	train	VERB
aiti-6939	99	18	model	model	NOUN
aiti-6939	99	19	for	for	ADP
aiti-6939	99	20	prediction	prediction	NOUN
aiti-6939	99	21	,	,	PUNCT
aiti-6939	99	22	a	a	DET
aiti-6939	99	23	majority	majority	NOUN
aiti-6939	99	24	voting	voting	NOUN
aiti-6939	99	25	mechanism	mechanism	NOUN
aiti-6939	99	26	is	be	AUX
aiti-6939	99	27	added	add	VERB
aiti-6939	99	28	to	to	PART
aiti-6939	99	29	evaluate	evaluate	VERB
aiti-6939	99	30	model	model	NOUN
aiti-6939	99	31	performance	performance	NOUN
aiti-6939	99	32	.	.	PUNCT
aiti-6939	100	1	fig	fig	NOUN
aiti-6939	100	2	.	.	PUNCT
aiti-6939	100	3	8	8	NUM
aiti-6939	101	1	the	the	DET
aiti-6939	101	2	proposed	propose	VERB
aiti-6939	101	3	approach	approach	NOUN
aiti-6939	101	4	for	for	ADP
aiti-6939	101	5	tea	tea	NOUN
aiti-6939	101	6	image	image	NOUN
aiti-6939	101	7	classification	classification	NOUN
aiti-6939	101	8	5	5	NUM
aiti-6939	101	9	.	.	PUNCT
aiti-6939	101	10	algorithms	algorithm	VERB
aiti-6939	101	11	5.1	5.1	NUM
aiti-6939	101	12	.	.	PUNCT
aiti-6939	102	1	triplet	triplet	NOUN
aiti-6939	102	2	loss	loss	NOUN
aiti-6939	102	3	triplet	triplet	NOUN
aiti-6939	102	4	loss	loss	NOUN
aiti-6939	102	5	is	be	AUX
aiti-6939	102	6	a	a	DET
aiti-6939	102	7	metric	metric	ADJ
aiti-6939	102	8	learning	learning	NOUN
aiti-6939	102	9	[	[	X
aiti-6939	102	10	17	17	NUM
aiti-6939	102	11	]	]	PUNCT
aiti-6939	102	12	.	.	PUNCT
aiti-6939	103	1	it	it	PRON
aiti-6939	103	2	selects	select	VERB
aiti-6939	103	3	three	three	NUM
aiti-6939	103	4	tea	tea	NOUN
aiti-6939	103	5	images	image	NOUN
aiti-6939	103	6	(	(	PUNCT
aiti-6939	103	7	�	�	PROPN
aiti-6939	103	8	�	�	PROPN
aiti-6939	103	9	�	�	PROPN
aiti-6939	103	10	�	�	PROPN
aiti-6939	103	11	�	�	PROPN
aiti-6939	103	12	,	,	PUNCT
aiti-6939	103	13	�	�	PROPN
aiti-6939	103	14	�	�	PROPN
aiti-6939	103	15	�	�	PROPN
aiti-6939	103	16	�	�	PROPN
aiti-6939	103	17	�	�	PROPN
aiti-6939	103	18	,	,	PUNCT
aiti-6939	103	19	and	and	CCONJ
aiti-6939	103	20	�	�	PROPN
aiti-6939	103	21	�	�	PROPN
aiti-6939	103	22	�	�	PROPN
aiti-6939	103	23	�	�	PROPN
aiti-6939	103	24	�	�	PROPN
aiti-6939	103	25	)	)	PUNCT
aiti-6939	103	26	from	from	ADP
aiti-6939	103	27	any	any	DET
aiti-6939	103	28	two	two	NUM
aiti-6939	103	29	tea	tea	NOUN
aiti-6939	103	30	classes	class	NOUN
aiti-6939	103	31	,	,	PUNCT
aiti-6939	103	32	where	where	SCONJ
aiti-6939	103	33	�	�	PROPN
aiti-6939	103	34	�	�	PROPN
aiti-6939	103	35	�	�	PROPN
aiti-6939	103	36	�	�	PROPN
aiti-6939	103	37	�	�	PROPN
aiti-6939	103	38	is	be	AUX
aiti-6939	103	39	called	call	VERB
aiti-6939	103	40	anchor	anchor	NOUN
aiti-6939	103	41	image	image	NOUN
aiti-6939	103	42	,	,	PUNCT
aiti-6939	103	43	�	�	PROPN
aiti-6939	103	44	�	�	PROPN
aiti-6939	103	45	�	�	PROPN
aiti-6939	103	46	�	�	PROPN
aiti-6939	103	47	�	�	PROPN
aiti-6939	103	48	is	be	AUX
aiti-6939	103	49	called	call	VERB
aiti-6939	103	50	positive	positive	ADJ
aiti-6939	103	51	image	image	NOUN
aiti-6939	103	52	,	,	PUNCT
aiti-6939	103	53	and	and	CCONJ
aiti-6939	103	54	�	�	PROPN
aiti-6939	103	55	�	�	PROPN
aiti-6939	103	56	�	�	PROPN
aiti-6939	103	57	�	�	PROPN
aiti-6939	103	58	�	�	PROPN
aiti-6939	103	59	is	be	AUX
aiti-6939	103	60	called	call	VERB
aiti-6939	103	61	negative	negative	ADJ
aiti-6939	103	62	image	image	NOUN
aiti-6939	103	63	;	;	PUNCT
aiti-6939	103	64	�	�	PROPN
aiti-6939	103	65	�	�	PROPN
aiti-6939	103	66	�	�	PROPN
aiti-6939	103	67	�	�	PROPN
aiti-6939	103	68	�	�	PROPN
aiti-6939	103	69	and	and	CCONJ
aiti-6939	103	70	�	�	PROPN
aiti-6939	103	71	�	�	PROPN
aiti-6939	103	72	�	�	PROPN
aiti-6939	103	73	�	�	PROPN
aiti-6939	103	74	�	�	PROPN
aiti-6939	103	75	belong	belong	VERB
aiti-6939	103	76	to	to	ADP
aiti-6939	103	77	the	the	DET
aiti-6939	103	78	same	same	ADJ
aiti-6939	103	79	tea	tea	NOUN
aiti-6939	103	80	class	class	NOUN
aiti-6939	103	81	and	and	CCONJ
aiti-6939	103	82	�	�	PROPN
aiti-6939	103	83	�	�	PROPN
aiti-6939	103	84	�	�	PROPN
aiti-6939	103	85	�	�	PROPN
aiti-6939	103	86	�	�	PROPN
aiti-6939	103	87	belongs	belong	VERB
aiti-6939	103	88	to	to	ADP
aiti-6939	103	89	a	a	DET
aiti-6939	103	90	different	different	ADJ
aiti-6939	103	91	tea	tea	NOUN
aiti-6939	103	92	class	class	NOUN
aiti-6939	103	93	.	.	PUNCT
aiti-6939	104	1	the	the	DET
aiti-6939	104	2	training	training	NOUN
aiti-6939	104	3	goal	goal	NOUN
aiti-6939	104	4	is	be	AUX
aiti-6939	104	5	to	to	PART
aiti-6939	104	6	minimize	minimize	VERB
aiti-6939	104	7	the	the	DET
aiti-6939	104	8	l2	l2	NOUN
aiti-6939	104	9	distance	distance	NOUN
aiti-6939	104	10	between	between	ADP
aiti-6939	104	11	anchor	anchor	NOUN
aiti-6939	104	12	image	image	NOUN
aiti-6939	104	13	and	and	CCONJ
aiti-6939	104	14	positive	positive	ADJ
aiti-6939	104	15	image	image	NOUN
aiti-6939	104	16	(	(	PUNCT
aiti-6939	104	17	�	�	PROPN
aiti-6939	104	18	�	�	PROPN
aiti-6939	104	19	,	,	PUNCT
aiti-6939	104	20	�	�	PROPN
aiti-6939	104	21	�	�	PROPN
aiti-6939	104	22	�	�	PROPN
aiti-6939	104	23	�	�	PROPN
aiti-6939	104	24	�	�	PROPN
aiti-6939	104	25	�	�	PROPN
aiti-6939	104	26	�	�	PROPN
aiti-6939	104	27	�	�	PROPN
aiti-6939	104	28	�	�	PROPN
aiti-6939	104	29	�	�	PROPN
aiti-6939	104	30	�	�	PROPN
aiti-6939	104	31	�	�	PROPN
aiti-6939	104	32	�	�	PROPN
aiti-6939	104	33	�	�	PROPN
aiti-6939	104	34	�	�	PROPN
aiti-6939	104	35	�	�	PROPN
aiti-6939	104	36	�	�	PROPN
aiti-6939	104	37	)	)	PUNCT
aiti-6939	104	38	as	as	SCONJ
aiti-6939	104	39	they	they	PRON
aiti-6939	104	40	are	be	AUX
aiti-6939	104	41	same	same	ADJ
aiti-6939	104	42	tea	tea	NOUN
aiti-6939	104	43	class	class	NOUN
aiti-6939	104	44	images	image	NOUN
aiti-6939	104	45	,	,	PUNCT
aiti-6939	104	46	and	and	CCONJ
aiti-6939	104	47	maximize	maximize	VERB
aiti-6939	104	48	the	the	DET
aiti-6939	104	49	l2	l2	NOUN
aiti-6939	104	50	distance	distance	NOUN
aiti-6939	104	51	between	between	ADP
aiti-6939	104	52	anchor	anchor	NOUN
aiti-6939	104	53	image	image	NOUN
aiti-6939	104	54	and	and	CCONJ
aiti-6939	104	55	negative	negative	ADJ
aiti-6939	104	56	image	image	NOUN
aiti-6939	104	57	(	(	PUNCT
aiti-6939	104	58	�	�	PROPN
aiti-6939	104	59	�	�	PROPN
aiti-6939	104	60	,	,	PUNCT
aiti-6939	104	61	�	�	PROPN
aiti-6939	104	62	�	�	PROPN
aiti-6939	104	63	�	�	PROPN
aiti-6939	104	64	�	�	PROPN
aiti-6939	104	65	�	�	PROPN
aiti-6939	104	66	�	�	PROPN
aiti-6939	104	67	�	�	PROPN
aiti-6939	104	68	�	�	PROPN
aiti-6939	104	69	�	�	PROPN
aiti-6939	104	70	�	�	PROPN
aiti-6939	104	71	�	�	PROPN
aiti-6939	104	72	�	�	PROPN
aiti-6939	104	73	�	�	PROPN
aiti-6939	104	74	�	�	PROPN
aiti-6939	104	75	�	�	PROPN
aiti-6939	104	76	�	�	PROPN
aiti-6939	104	77	�	�	PROPN
aiti-6939	104	78	)	)	PUNCT
aiti-6939	104	79	as	as	SCONJ
aiti-6939	104	80	they	they	PRON
aiti-6939	104	81	are	be	AUX
aiti-6939	104	82	different	different	ADJ
aiti-6939	104	83	tea	tea	NOUN
aiti-6939	104	84	categories	category	NOUN
aiti-6939	104	85	images	image	NOUN
aiti-6939	104	86	.	.	PUNCT
aiti-6939	105	1	in	in	SCONJ
aiti-6939	105	2	order	order	NOUN
aiti-6939	105	3	to	to	PART
aiti-6939	105	4	enlarge	enlarge	VERB
aiti-6939	105	5	the	the	DET
aiti-6939	105	6	learned	learn	VERB
aiti-6939	105	7	distance	distance	NOUN
aiti-6939	105	8	between	between	ADP
aiti-6939	105	9	�	�	PROPN
aiti-6939	105	10	�	�	PROPN
aiti-6939	105	11	,	,	PUNCT
aiti-6939	105	12	�	�	PROPN
aiti-6939	105	13	�	�	PROPN
aiti-6939	105	14	�	�	PROPN
aiti-6939	105	15	�	�	PROPN
aiti-6939	105	16	and	and	CCONJ
aiti-6939	105	17	�	�	PROPN
aiti-6939	105	18	�	�	PROPN
aiti-6939	105	19	,	,	PUNCT
aiti-6939	105	20	�	�	PROPN
aiti-6939	105	21	�	�	PROPN
aiti-6939	105	22	�	�	PROPN
aiti-6939	105	23	�	�	PROPN
aiti-6939	105	24	,	,	PUNCT
aiti-6939	105	25	a	a	DET
aiti-6939	105	26	margin	margin	NOUN
aiti-6939	105	27	which	which	PRON
aiti-6939	105	28	is	be	AUX
aiti-6939	105	29	greater	great	ADJ
aiti-6939	105	30	than	than	ADP
aiti-6939	105	31	0	0	NUM
aiti-6939	105	32	is	be	AUX
aiti-6939	105	33	also	also	ADV
aiti-6939	105	34	added	add	VERB
aiti-6939	105	35	:	:	PUNCT
aiti-6939	105	36	,	,	PUNCT
aiti-6939	105	37	,	,	PUNCT
aiti-6939	105	38	(	(	PUNCT
aiti-6939	105	39	)	)	PUNCT
aiti-6939	105	40	(	(	PUNCT
aiti-6939	105	41	)	)	PUNCT
aiti-6939	106	1	n	n	ADP
aiti-6939	106	2	a	a	DET
aiti-6939	106	3	p	p	X
aiti-6939	106	4	a	a	DET
aiti-6939	106	5	n	n	NOUN
aiti-6939	107	1	i	i	PRON
aiti-6939	107	2	i	i	PRON
aiti-6939	108	1	i	i	PRON
aiti-6939	108	2	margind	margind	VERB
aiti-6939	108	3	d	d	PROPN
aiti-6939	109	1	+	+	NUM
aiti-6939	109	2			PROPN
aiti-6939	109	3	−	−	PROPN
aiti-6939	109	4	+	+	PROPN
aiti-6939	109	5			NOUN
aiti-6939	109	6	∑	∑	SYM
aiti-6939	109	7	(	(	PUNCT
aiti-6939	109	8	1	1	NUM
aiti-6939	109	9	)	)	SYM
aiti-6939	109	10	203	203	NUM
aiti-6939	109	11	advances	advance	NOUN
aiti-6939	109	12	in	in	ADP
aiti-6939	109	13	technology	technology	NOUN
aiti-6939	109	14	innovation	innovation	NOUN
aiti-6939	109	15	,	,	PUNCT
aiti-6939	109	16	vol	vol	NOUN
aiti-6939	109	17	.	.	PROPN
aiti-6939	109	18	6	6	NUM
aiti-6939	109	19	,	,	PUNCT
aiti-6939	109	20	no	no	INTJ
aiti-6939	109	21	.	.	NOUN
aiti-6939	109	22	4	4	NUM
aiti-6939	109	23	,	,	PUNCT
aiti-6939	109	24	2021	2021	NUM
aiti-6939	109	25	,	,	PUNCT
aiti-6939	109	26	pp	pp	ADJ
aiti-6939	109	27	.	.	PUNCT
aiti-6939	110	1	199	199	NUM
aiti-6939	110	2	-	-	SYM
aiti-6939	110	3	212	212	NUM
aiti-6939	110	4	when	when	SCONJ
aiti-6939	110	5	using	use	VERB
aiti-6939	110	6	triplet	triplet	NOUN
aiti-6939	110	7	loss	loss	NOUN
aiti-6939	110	8	in	in	ADP
aiti-6939	110	9	model	model	NOUN
aiti-6939	110	10	training	training	NOUN
aiti-6939	110	11	,	,	PUNCT
aiti-6939	110	12	one	one	NUM
aiti-6939	110	13	tea	tea	NOUN
aiti-6939	110	14	class	class	NOUN
aiti-6939	110	15	is	be	AUX
aiti-6939	110	16	labeled	label	VERB
aiti-6939	110	17	as	as	ADP
aiti-6939	110	18	positive	positive	ADJ
aiti-6939	110	19	category	category	NOUN
aiti-6939	110	20	and	and	CCONJ
aiti-6939	110	21	other	other	ADJ
aiti-6939	110	22	five	five	NUM
aiti-6939	110	23	tea	tea	NOUN
aiti-6939	110	24	classes	class	NOUN
aiti-6939	110	25	are	be	AUX
aiti-6939	110	26	labeled	label	VERB
aiti-6939	110	27	as	as	ADP
aiti-6939	110	28	negative	negative	ADJ
aiti-6939	110	29	category	category	NOUN
aiti-6939	110	30	.	.	PUNCT
aiti-6939	111	1	since	since	SCONJ
aiti-6939	111	2	there	there	PRON
aiti-6939	111	3	are	be	VERB
aiti-6939	111	4	six	six	NUM
aiti-6939	111	5	tea	tea	NOUN
aiti-6939	111	6	classes	class	NOUN
aiti-6939	111	7	,	,	PUNCT
aiti-6939	111	8	six	six	NUM
aiti-6939	111	9	models	model	NOUN
aiti-6939	111	10	can	can	AUX
aiti-6939	111	11	be	be	AUX
aiti-6939	111	12	trained	train	VERB
aiti-6939	111	13	,	,	PUNCT
aiti-6939	111	14	each	each	DET
aiti-6939	111	15	time	time	NOUN
aiti-6939	111	16	assigning	assign	VERB
aiti-6939	111	17	one	one	NUM
aiti-6939	111	18	class	class	NOUN
aiti-6939	111	19	as	as	ADP
aiti-6939	111	20	positive	positive	ADJ
aiti-6939	111	21	category	category	NOUN
aiti-6939	111	22	and	and	CCONJ
aiti-6939	111	23	other	other	ADJ
aiti-6939	111	24	five	five	NUM
aiti-6939	111	25	classes	class	NOUN
aiti-6939	111	26	as	as	ADP
aiti-6939	111	27	negative	negative	ADJ
aiti-6939	111	28	category	category	NOUN
aiti-6939	111	29	.	.	PUNCT
aiti-6939	112	1	for	for	ADP
aiti-6939	112	2	example	example	NOUN
aiti-6939	112	3	,	,	PUNCT
aiti-6939	112	4	if	if	SCONJ
aiti-6939	112	5	tea	tea	NOUN
aiti-6939	112	6	class	class	NOUN
aiti-6939	112	7	0	0	NUM
aiti-6939	112	8	is	be	AUX
aiti-6939	112	9	labeled	label	VERB
aiti-6939	112	10	as	as	ADP
aiti-6939	112	11	positive	positive	ADJ
aiti-6939	112	12	category	category	NOUN
aiti-6939	112	13	,	,	PUNCT
aiti-6939	112	14	then	then	ADV
aiti-6939	112	15	tea	tea	NOUN
aiti-6939	112	16	class	class	NOUN
aiti-6939	112	17	1	1	NUM
aiti-6939	112	18	~	~	PUNCT
aiti-6939	112	19	class	class	NOUN
aiti-6939	112	20	5	5	NUM
aiti-6939	112	21	will	will	AUX
aiti-6939	112	22	be	be	AUX
aiti-6939	112	23	labeled	label	VERB
aiti-6939	112	24	as	as	ADP
aiti-6939	112	25	negative	negative	ADJ
aiti-6939	112	26	category	category	NOUN
aiti-6939	112	27	.	.	PUNCT
aiti-6939	113	1	5.2	5.2	NUM
aiti-6939	113	2	.	.	PUNCT
aiti-6939	114	1	majority	majority	NOUN
aiti-6939	114	2	voting	voting	NOUN
aiti-6939	114	3	after	after	SCONJ
aiti-6939	114	4	a	a	DET
aiti-6939	114	5	test	test	NOUN
aiti-6939	114	6	image	image	NOUN
aiti-6939	114	7	is	be	AUX
aiti-6939	114	8	cropped	crop	VERB
aiti-6939	114	9	into	into	ADP
aiti-6939	114	10	multiple	multiple	ADJ
aiti-6939	114	11	tea	tea	NOUN
aiti-6939	114	12	sub	sub	NOUN
aiti-6939	114	13	-	-	NOUN
aiti-6939	114	14	images	image	NOUN
aiti-6939	114	15	and	and	CCONJ
aiti-6939	114	16	input	input	NOUN
aiti-6939	114	17	to	to	ADP
aiti-6939	114	18	the	the	DET
aiti-6939	114	19	trained	train	VERB
aiti-6939	114	20	model	model	NOUN
aiti-6939	114	21	for	for	ADP
aiti-6939	114	22	evaluation	evaluation	NOUN
aiti-6939	114	23	,	,	PUNCT
aiti-6939	114	24	the	the	DET
aiti-6939	114	25	majority	majority	NOUN
aiti-6939	114	26	voting	voting	NOUN
aiti-6939	114	27	mechanism	mechanism	NOUN
aiti-6939	114	28	will	will	AUX
aiti-6939	114	29	calculate	calculate	VERB
aiti-6939	114	30	how	how	SCONJ
aiti-6939	114	31	many	many	ADJ
aiti-6939	114	32	percentage	percentage	NOUN
aiti-6939	114	33	of	of	ADP
aiti-6939	114	34	tea	tea	NOUN
aiti-6939	114	35	sub	sub	NOUN
aiti-6939	114	36	-	-	NOUN
aiti-6939	114	37	images	image	NOUN
aiti-6939	114	38	are	be	AUX
aiti-6939	114	39	predicted	predict	VERB
aiti-6939	114	40	as	as	ADP
aiti-6939	114	41	positive	positive	ADJ
aiti-6939	114	42	category	category	NOUN
aiti-6939	114	43	and	and	CCONJ
aiti-6939	114	44	negative	negative	ADJ
aiti-6939	114	45	category	category	NOUN
aiti-6939	114	46	,	,	PUNCT
aiti-6939	114	47	and	and	CCONJ
aiti-6939	114	48	the	the	DET
aiti-6939	114	49	model	model	NOUN
aiti-6939	114	50	’s	’s	PART
aiti-6939	114	51	accuracy	accuracy	NOUN
aiti-6939	114	52	is	be	AUX
aiti-6939	114	53	obtained	obtain	VERB
aiti-6939	114	54	(	(	PUNCT
aiti-6939	114	55	algorithm	algorithm	NOUN
aiti-6939	114	56	1	1	NUM
aiti-6939	114	57	)	)	PUNCT
aiti-6939	114	58	.	.	PUNCT
aiti-6939	115	1	for	for	ADP
aiti-6939	115	2	example	example	NOUN
aiti-6939	115	3	,	,	PUNCT
aiti-6939	115	4	if	if	SCONJ
aiti-6939	115	5	a	a	DET
aiti-6939	115	6	model	model	NOUN
aiti-6939	115	7	is	be	AUX
aiti-6939	115	8	trained	train	VERB
aiti-6939	115	9	as	as	ADP
aiti-6939	115	10	class	class	NOUN
aiti-6939	115	11	0	0	NUM
aiti-6939	115	12	being	be	AUX
aiti-6939	115	13	positive	positive	ADJ
aiti-6939	115	14	category	category	NOUN
aiti-6939	115	15	and	and	CCONJ
aiti-6939	115	16	class	class	NOUN
aiti-6939	115	17	1	1	NUM
aiti-6939	115	18	~	~	PUNCT
aiti-6939	115	19	class	class	NOUN
aiti-6939	115	20	5	5	NUM
aiti-6939	115	21	being	be	AUX
aiti-6939	115	22	negative	negative	ADJ
aiti-6939	115	23	category	category	NOUN
aiti-6939	115	24	;	;	PUNCT
aiti-6939	115	25	when	when	SCONJ
aiti-6939	115	26	a	a	DET
aiti-6939	115	27	test	test	NOUN
aiti-6939	115	28	image	image	NOUN
aiti-6939	115	29	that	that	PRON
aiti-6939	115	30	belongs	belong	VERB
aiti-6939	115	31	to	to	ADP
aiti-6939	115	32	class	class	NOUN
aiti-6939	115	33	0	0	NUM
aiti-6939	115	34	is	be	AUX
aiti-6939	115	35	input	input	NOUN
aiti-6939	115	36	,	,	PUNCT
aiti-6939	115	37	its	its	PRON
aiti-6939	115	38	sub	sub	NOUN
aiti-6939	115	39	-	-	NOUN
aiti-6939	115	40	images	image	NOUN
aiti-6939	115	41	predicted	predict	VERB
aiti-6939	115	42	as	as	SCONJ
aiti-6939	115	43	class	class	NOUN
aiti-6939	115	44	0	0	NUM
aiti-6939	115	45	will	will	AUX
aiti-6939	115	46	be	be	AUX
aiti-6939	115	47	counted	count	VERB
aiti-6939	115	48	as	as	ADP
aiti-6939	115	49	positive	positive	ADJ
aiti-6939	115	50	category	category	NOUN
aiti-6939	115	51	,	,	PUNCT
aiti-6939	115	52	and	and	CCONJ
aiti-6939	115	53	its	its	PRON
aiti-6939	115	54	sub	sub	NOUN
aiti-6939	115	55	-	-	NOUN
aiti-6939	115	56	images	image	NOUN
aiti-6939	115	57	predicted	predict	VERB
aiti-6939	115	58	as	as	SCONJ
aiti-6939	115	59	class	class	NOUN
aiti-6939	115	60	1	1	NUM
aiti-6939	115	61	~	~	PUNCT
aiti-6939	115	62	class	class	NOUN
aiti-6939	115	63	5	5	NUM
aiti-6939	115	64	will	will	AUX
aiti-6939	115	65	be	be	AUX
aiti-6939	115	66	counted	count	VERB
aiti-6939	115	67	as	as	ADP
aiti-6939	115	68	negative	negative	ADJ
aiti-6939	115	69	category	category	NOUN
aiti-6939	115	70	.	.	PUNCT
aiti-6939	116	1	if	if	SCONJ
aiti-6939	116	2	the	the	DET
aiti-6939	116	3	same	same	ADJ
aiti-6939	116	4	tea	tea	NOUN
aiti-6939	116	5	sub	sub	NOUN
aiti-6939	116	6	-	-	NOUN
aiti-6939	116	7	images	image	NOUN
aiti-6939	116	8	’	'	PUNCT
aiti-6939	116	9	feature	feature	NOUN
aiti-6939	116	10	properties	property	NOUN
aiti-6939	116	11	are	be	AUX
aiti-6939	116	12	statistically	statistically	ADV
aiti-6939	116	13	similar	similar	ADJ
aiti-6939	116	14	as	as	ADP
aiti-6939	116	15	fig	fig	NOUN
aiti-6939	116	16	.	.	PUNCT
aiti-6939	117	1	7	7	NUM
aiti-6939	117	2	shows	show	NOUN
aiti-6939	117	3	,	,	PUNCT
aiti-6939	117	4	most	most	ADJ
aiti-6939	117	5	class	class	NOUN
aiti-6939	117	6	0	0	NUM
aiti-6939	117	7	’s	’s	PART
aiti-6939	117	8	sub	sub	NOUN
aiti-6939	117	9	-	-	NOUN
aiti-6939	117	10	images	image	NOUN
aiti-6939	117	11	should	should	AUX
aiti-6939	117	12	be	be	AUX
aiti-6939	117	13	predicted	predict	VERB
aiti-6939	117	14	as	as	ADP
aiti-6939	117	15	positive	positive	ADJ
aiti-6939	117	16	category	category	NOUN
aiti-6939	117	17	in	in	ADP
aiti-6939	117	18	this	this	DET
aiti-6939	117	19	example	example	NOUN
aiti-6939	117	20	(	(	PUNCT
aiti-6939	117	21	fig	fig	NOUN
aiti-6939	117	22	.	.	PUNCT
aiti-6939	118	1	9	9	NUM
aiti-6939	118	2	)	)	PUNCT
aiti-6939	118	3	.	.	PUNCT
aiti-6939	119	1	algorithm	algorithm	NOUN
aiti-6939	119	2	1	1	NUM
aiti-6939	119	3	:	:	PUNCT
aiti-6939	119	4	majority	majority	NOUN
aiti-6939	119	5	voting	voting	NOUN
aiti-6939	119	6	abbreviations	abbreviation	NOUN
aiti-6939	119	7	pc	pc	NOUN
aiti-6939	119	8	:	:	PUNCT
aiti-6939	119	9	positive	positive	ADJ
aiti-6939	119	10	category	category	NOUN
aiti-6939	119	11	nc	nc	PROPN
aiti-6939	119	12	:	:	PUNCT
aiti-6939	119	13	negative	negative	ADJ
aiti-6939	119	14	category	category	NOUN
aiti-6939	119	15	ppos	ppos	PROPN
aiti-6939	119	16	:	:	PUNCT
aiti-6939	119	17	prediction	prediction	NOUN
aiti-6939	119	18	percentage	percentage	NOUN
aiti-6939	119	19	of	of	ADP
aiti-6939	119	20	sub	sub	ADJ
aiti-6939	119	21	-	-	ADJ
aiti-6939	119	22	images	image	NOUN
aiti-6939	119	23	input	input	NOUN
aiti-6939	119	24	:	:	PUNCT
aiti-6939	119	25	tea	tea	NOUN
aiti-6939	119	26	images	image	NOUN
aiti-6939	119	27	in	in	ADP
aiti-6939	119	28	the	the	DET
aiti-6939	119	29	test	test	NOUN
aiti-6939	119	30	set	set	VERB
aiti-6939	119	31	output	output	NOUN
aiti-6939	119	32	:	:	PUNCT
aiti-6939	119	33	model	model	PROPN
aiti-6939	119	34	’s	’s	PART
aiti-6939	119	35	accuracy	accuracy	NOUN
aiti-6939	119	36	1	1	NUM
aiti-6939	119	37	true_positive	true_positive	NOUN
aiti-6939	119	38	=	=	SYM
aiti-6939	119	39	0	0	NUM
aiti-6939	119	40	2	2	NUM
aiti-6939	119	41	false_positive	false_positive	NOUN
aiti-6939	119	42	=	=	SYM
aiti-6939	119	43	0	0	SYM
aiti-6939	119	44	3	3	NUM
aiti-6939	119	45	true_negative	true_negative	NOUN
aiti-6939	119	46	=	=	NOUN
aiti-6939	119	47	0	0	NUM
aiti-6939	119	48	4	4	NUM
aiti-6939	119	49	false_negative	false_negative	NOUN
aiti-6939	119	50	=	=	SYM
aiti-6939	119	51	0	0	NUM
aiti-6939	119	52	5	5	NUM
aiti-6939	119	53	for	for	ADP
aiti-6939	119	54	each_image	each_image	NOUN
aiti-6939	119	55	in	in	ADP
aiti-6939	119	56	test_set	test_set	PROPN
aiti-6939	119	57	:	:	PUNCT
aiti-6939	119	58	6	6	NUM
aiti-6939	119	59	if	if	SCONJ
aiti-6939	119	60	image’s_label	image’s_label	NOUN
aiti-6939	119	61	=	=	NOUN
aiti-6939	119	62	=	=	SYM
aiti-6939	119	63	pc	pc	NOUN
aiti-6939	119	64	:	:	PUNCT
aiti-6939	119	65	7	7	NUM
aiti-6939	119	66	if	if	SCONJ
aiti-6939	119	67	ppos_in_pc	ppos_in_pc	NOUN
aiti-6939	119	68	>	>	X
aiti-6939	119	69	ppos_in_nc	ppos_in_nc	NOUN
aiti-6939	119	70	:	:	PUNCT
aiti-6939	119	71	8	8	NUM
aiti-6939	119	72	true_positive	true_positive	PROPN
aiti-6939	120	1	+	+	NOUN
aiti-6939	120	2	=	=	SYM
aiti-6939	120	3	1	1	NUM
aiti-6939	120	4	9	9	NUM
aiti-6939	120	5	else	else	ADV
aiti-6939	120	6	:	:	PUNCT
aiti-6939	120	7	10	10	NUM
aiti-6939	120	8	false_positive	false_positive	ADJ
aiti-6939	120	9	+	+	NOUN
aiti-6939	120	10	=	=	SYM
aiti-6939	120	11	1	1	NUM
aiti-6939	120	12	11	11	NUM
aiti-6939	120	13	if	if	SCONJ
aiti-6939	120	14	image’s_label	image’s_label	NOUN
aiti-6939	120	15	=	=	SYM
aiti-6939	120	16	=	=	SYM
aiti-6939	120	17	nc	nc	PROPN
aiti-6939	120	18	:	:	PUNCT
aiti-6939	120	19	12	12	NUM
aiti-6939	121	1	if	if	SCONJ
aiti-6939	121	2	ppos_in_nc	ppos_in_nc	NOUN
aiti-6939	121	3	>	>	PUNCT
aiti-6939	121	4	ppos_in_pc	ppos_in_pc	NOUN
aiti-6939	121	5	:	:	PUNCT
aiti-6939	121	6	13	13	NUM
aiti-6939	121	7	true_negative	true_negative	NOUN
aiti-6939	121	8	+	+	ADJ
aiti-6939	121	9	=	=	SYM
aiti-6939	121	10	1	1	NUM
aiti-6939	121	11	14	14	NUM
aiti-6939	121	12	else	else	ADV
aiti-6939	121	13	:	:	PUNCT
aiti-6939	121	14	15	15	NUM
aiti-6939	121	15	false_negative	false_negative	ADJ
aiti-6939	121	16	+	+	NOUN
aiti-6939	121	17	=	=	SYM
aiti-6939	121	18	1	1	NUM
aiti-6939	121	19	16	16	NUM
aiti-6939	121	20	model_accuracy	model_accuracy	NOUN
aiti-6939	121	21	=	=	SYM
aiti-6939	121	22	�	�	PROPN
aiti-6939	121	23	�	�	PROPN
aiti-6939	121	24	�	�	PROPN
aiti-6939	121	25	_	_	PROPN
aiti-6939	121	26	�	�	PROPN
aiti-6939	121	27	�	�	PROPN
aiti-6939	121	28	�	�	PROPN
aiti-6939	121	29	�	�	PROPN
aiti-6939	121	30	�	�	PROPN
aiti-6939	121	31	�	�	PROPN
aiti-6939	121	32	�	�	PROPN
aiti-6939	121	33	�	�	PROPN
aiti-6939	121	34	�	�	PROPN
aiti-6939	121	35	�	�	PROPN
aiti-6939	121	36	�	�	PROPN
aiti-6939	121	37	_	_	PROPN
aiti-6939	121	38	�	�	PROPN
aiti-6939	121	39	�	�	PROPN
aiti-6939	121	40	�	�	PROPN
aiti-6939	121	41	�	�	PROPN
aiti-6939	121	42	�	�	PROPN
aiti-6939	121	43	�	�	PROPN
aiti-6939	121	44	�	�	PROPN
aiti-6939	121	45	�	�	PROPN
aiti-6939	121	46	�	�	PROPN
aiti-6939	121	47	�	�	PROPN
aiti-6939	121	48	_	_	NOUN
aiti-6939	121	49	�	�	PROPN
aiti-6939	121	50	�	�	PROPN
aiti-6939	121	51	_	_	PROPN
aiti-6939	121	52	�	�	PROPN
aiti-6939	121	53	�	�	PROPN
aiti-6939	121	54	�	�	PROPN
aiti-6939	121	55	�	�	PROPN
aiti-6939	121	56	�	�	PROPN
aiti-6939	121	57	_	_	PROPN
aiti-6939	121	58	�	�	PROPN
aiti-6939	121	59	�	�	PROPN
aiti-6939	121	60	�	�	PROPN
aiti-6939	121	61	�	�	PROPN
aiti-6939	121	62	�	�	PROPN
aiti-6939	121	63	�	�	PROPN
aiti-6939	121	64	�	�	PROPN
aiti-6939	121	65	100	100	NUM
aiti-6939	121	66	%	%	NOUN
aiti-6939	121	67	fig	fig	NOUN
aiti-6939	121	68	.	.	PUNCT
aiti-6939	122	1	9	9	NUM
aiti-6939	122	2	illustration	illustration	NOUN
aiti-6939	122	3	of	of	ADP
aiti-6939	122	4	how	how	SCONJ
aiti-6939	122	5	majority	majority	NOUN
aiti-6939	122	6	voting	voting	NOUN
aiti-6939	122	7	works	work	VERB
aiti-6939	122	8	if	if	SCONJ
aiti-6939	122	9	the	the	DET
aiti-6939	122	10	second	second	ADJ
aiti-6939	122	11	observation	observation	NOUN
aiti-6939	122	12	is	be	AUX
aiti-6939	122	13	correct	correct	ADJ
aiti-6939	122	14	204	204	NUM
aiti-6939	122	15	advances	advance	NOUN
aiti-6939	122	16	in	in	ADP
aiti-6939	122	17	technology	technology	NOUN
aiti-6939	122	18	innovation	innovation	NOUN
aiti-6939	122	19	,	,	PUNCT
aiti-6939	122	20	vol	vol	NOUN
aiti-6939	122	21	.	.	PROPN
aiti-6939	122	22	6	6	NUM
aiti-6939	122	23	,	,	PUNCT
aiti-6939	122	24	no	no	INTJ
aiti-6939	122	25	.	.	NOUN
aiti-6939	122	26	4	4	NUM
aiti-6939	122	27	,	,	PUNCT
aiti-6939	122	28	2021	2021	NUM
aiti-6939	122	29	,	,	PUNCT
aiti-6939	122	30	pp	pp	ADJ
aiti-6939	122	31	.	.	PUNCT
aiti-6939	123	1	199	199	NUM
aiti-6939	123	2	-	-	SYM
aiti-6939	123	3	212	212	NUM
aiti-6939	123	4	6	6	NUM
aiti-6939	123	5	.	.	PUNCT
aiti-6939	123	6	image	image	NOUN
aiti-6939	123	7	-	-	PUNCT
aiti-6939	123	8	preprocessing	preprocesse	VERB
aiti-6939	123	9	6.1	6.1	NUM
aiti-6939	123	10	.	.	PUNCT
aiti-6939	124	1	data	datum	NOUN
aiti-6939	124	2	acquisition	acquisition	NOUN
aiti-6939	124	3	due	due	ADP
aiti-6939	124	4	to	to	ADP
aiti-6939	124	5	tea	tea	NOUN
aiti-6939	124	6	image	image	NOUN
aiti-6939	124	7	’s	’s	PART
aiti-6939	124	8	sensitivity	sensitivity	NOUN
aiti-6939	124	9	to	to	PART
aiti-6939	124	10	brightness	brightness	VERB
aiti-6939	124	11	,	,	PUNCT
aiti-6939	124	12	shadow	shadow	NOUN
aiti-6939	124	13	,	,	PUNCT
aiti-6939	124	14	and	and	CCONJ
aiti-6939	124	15	angle	angle	NOUN
aiti-6939	124	16	rotation	rotation	NOUN
aiti-6939	124	17	changes	change	NOUN
aiti-6939	124	18	,	,	PUNCT
aiti-6939	124	19	a	a	DET
aiti-6939	124	20	standard	standard	ADJ
aiti-6939	124	21	operation	operation	NOUN
aiti-6939	124	22	procedure	procedure	NOUN
aiti-6939	124	23	(	(	PUNCT
aiti-6939	124	24	sop	sop	PROPN
aiti-6939	124	25	)	)	PUNCT
aiti-6939	124	26	is	be	AUX
aiti-6939	124	27	set	set	VERB
aiti-6939	124	28	to	to	PART
aiti-6939	124	29	photograph	photograph	VERB
aiti-6939	124	30	the	the	DET
aiti-6939	124	31	tea	tea	NOUN
aiti-6939	124	32	leaves	leave	NOUN
aiti-6939	124	33	.	.	PUNCT
aiti-6939	125	1	if	if	SCONJ
aiti-6939	125	2	tea	tea	NOUN
aiti-6939	125	3	image	image	NOUN
aiti-6939	125	4	quality	quality	NOUN
aiti-6939	125	5	is	be	AUX
aiti-6939	125	6	low	low	ADJ
aiti-6939	125	7	,	,	PUNCT
aiti-6939	125	8	then	then	ADV
aiti-6939	125	9	it	it	PRON
aiti-6939	125	10	is	be	AUX
aiti-6939	125	11	difficult	difficult	ADJ
aiti-6939	125	12	to	to	PART
aiti-6939	125	13	converge	converge	VERB
aiti-6939	125	14	the	the	DET
aiti-6939	125	15	model	model	NOUN
aiti-6939	125	16	.	.	PUNCT
aiti-6939	126	1	(	(	PUNCT
aiti-6939	126	2	1	1	X
aiti-6939	126	3	)	)	PUNCT
aiti-6939	126	4	sop	sop	NOUN
aiti-6939	126	5	goal	goal	NOUN
aiti-6939	126	6	:	:	PUNCT
aiti-6939	126	7	get	get	VERB
aiti-6939	126	8	a	a	DET
aiti-6939	126	9	batch	batch	NOUN
aiti-6939	126	10	of	of	ADP
aiti-6939	126	11	clear	clear	ADJ
aiti-6939	126	12	and	and	CCONJ
aiti-6939	126	13	high	high	ADJ
aiti-6939	126	14	-	-	PUNCT
aiti-6939	126	15	resolution	resolution	NOUN
aiti-6939	126	16	tea	tea	NOUN
aiti-6939	126	17	photos	photo	NOUN
aiti-6939	126	18	with	with	ADP
aiti-6939	126	19	uniform	uniform	ADJ
aiti-6939	126	20	brightness	brightness	NOUN
aiti-6939	126	21	.	.	PUNCT
aiti-6939	127	1	(	(	PUNCT
aiti-6939	127	2	2	2	X
aiti-6939	127	3	)	)	PUNCT
aiti-6939	127	4	tools	tool	NOUN
aiti-6939	127	5	:	:	PUNCT
aiti-6939	127	6	1	1	X
aiti-6939	127	7	.	.	X
aiti-6939	127	8	a	a	DET
aiti-6939	127	9	paper	paper	NOUN
aiti-6939	127	10	box	box	NOUN
aiti-6939	127	11	,	,	PUNCT
aiti-6939	127	12	having	have	VERB
aiti-6939	127	13	a	a	DET
aiti-6939	127	14	size	size	NOUN
aiti-6939	127	15	of	of	ADP
aiti-6939	127	16	1/4	1/4	NUM
aiti-6939	127	17	a4	a4	NOUN
aiti-6939	127	18	paper	paper	NOUN
aiti-6939	127	19	area	area	NOUN
aiti-6939	127	20	(	(	PUNCT
aiti-6939	127	21	fig	fig	NOUN
aiti-6939	127	22	.	.	PUNCT
aiti-6939	127	23	10	10	NUM
aiti-6939	127	24	)	)	PUNCT
aiti-6939	127	25	.	.	PUNCT
aiti-6939	128	1	2	2	X
aiti-6939	128	2	.	.	X
aiti-6939	128	3	a	a	DET
aiti-6939	128	4	table	table	NOUN
aiti-6939	128	5	lamp	lamp	NOUN
aiti-6939	128	6	.	.	PUNCT
aiti-6939	129	1	3	3	X
aiti-6939	129	2	.	.	NOUN
aiti-6939	129	3	six	six	NUM
aiti-6939	129	4	zipper	zipper	NOUN
aiti-6939	129	5	storage	storage	NOUN
aiti-6939	129	6	bags	bag	NOUN
aiti-6939	129	7	.	.	PUNCT
aiti-6939	130	1	4	4	X
aiti-6939	130	2	.	.	X
aiti-6939	130	3	a	a	DET
aiti-6939	130	4	camera	camera	NOUN
aiti-6939	130	5	.	.	PUNCT
aiti-6939	131	1	in	in	ADP
aiti-6939	131	2	this	this	DET
aiti-6939	131	3	study	study	NOUN
aiti-6939	131	4	,	,	PUNCT
aiti-6939	131	5	iphone	iphone	NOUN
aiti-6939	131	6	7	7	NUM
aiti-6939	131	7	plus	plus	CCONJ
aiti-6939	131	8	camera	camera	NOUN
aiti-6939	131	9	is	be	AUX
aiti-6939	131	10	used	use	VERB
aiti-6939	131	11	.	.	PUNCT
aiti-6939	132	1	the	the	DET
aiti-6939	132	2	information	information	NOUN
aiti-6939	132	3	about	about	ADP
aiti-6939	132	4	this	this	DET
aiti-6939	132	5	camera	camera	NOUN
aiti-6939	132	6	are	be	AUX
aiti-6939	132	7	as	as	SCONJ
aiti-6939	132	8	follows	follow	VERB
aiti-6939	132	9	:	:	PUNCT
aiti-6939	132	10	a.	a.	NOUN
aiti-6939	132	11	dual	dual	ADJ
aiti-6939	132	12	12mp	12mp	ADJ
aiti-6939	132	13	wide	wide	ADJ
aiti-6939	132	14	-	-	PUNCT
aiti-6939	132	15	angle	angle	NOUN
aiti-6939	132	16	and	and	CCONJ
aiti-6939	132	17	telephoto	telephoto	NOUN
aiti-6939	132	18	cameras	camera	NOUN
aiti-6939	132	19	.	.	PUNCT
aiti-6939	133	1	b.	b.	PROPN
aiti-6939	133	2	wide	wide	ADJ
aiti-6939	133	3	-	-	PUNCT
aiti-6939	133	4	angle	angle	NOUN
aiti-6939	133	5	:	:	PUNCT
aiti-6939	133	6	ƒ/1.8	ƒ/1.8	ADJ
aiti-6939	133	7	aperture	aperture	NOUN
aiti-6939	133	8	;	;	PUNCT
aiti-6939	133	9	telephoto	telephoto	NOUN
aiti-6939	133	10	:	:	PUNCT
aiti-6939	133	11	ƒ/2.8	ƒ/2.8	VERB
aiti-6939	133	12	aperture	aperture	NOUN
aiti-6939	133	13	.	.	PUNCT
aiti-6939	134	1	c.	c.	NOUN
aiti-6939	134	2	2x	2x	NUM
aiti-6939	134	3	optical	optical	ADJ
aiti-6939	134	4	zoom	zoom	NOUN
aiti-6939	134	5	.	.	PUNCT
aiti-6939	135	1	d.	d.	PROPN
aiti-6939	135	2	autofocus	autofocus	VERB
aiti-6939	135	3	with	with	ADP
aiti-6939	135	4	focus	focus	NOUN
aiti-6939	135	5	pixels	pixel	NOUN
aiti-6939	135	6	.	.	PUNCT
aiti-6939	136	1	e.	e.	PROPN
aiti-6939	136	2	automatic	automatic	ADJ
aiti-6939	136	3	exposure	exposure	NOUN
aiti-6939	136	4	control	control	NOUN
aiti-6939	136	5	.	.	PUNCT
aiti-6939	137	1	f.	f.	PROPN
aiti-6939	137	2	backside	backside	PROPN
aiti-6939	137	3	illumination	illumination	NOUN
aiti-6939	137	4	sensor	sensor	NOUN
aiti-6939	137	5	.	.	PUNCT
aiti-6939	138	1	g.	g.	PROPN
aiti-6939	138	2	hybrid	hybrid	PROPN
aiti-6939	138	3	ir	ir	PROPN
aiti-6939	138	4	filter	filter	NOUN
aiti-6939	138	5	.	.	PUNCT
aiti-6939	139	1	(	(	PUNCT
aiti-6939	139	2	3	3	X
aiti-6939	139	3	)	)	PUNCT
aiti-6939	139	4	procedure	procedure	NOUN
aiti-6939	139	5	:	:	PUNCT
aiti-6939	139	6	1	1	X
aiti-6939	139	7	.	.	X
aiti-6939	139	8	preparation	preparation	NOUN
aiti-6939	139	9	stage	stage	NOUN
aiti-6939	139	10	:	:	PUNCT
aiti-6939	139	11	a.	a.	NOUN
aiti-6939	139	12	pour	pour	NOUN
aiti-6939	139	13	tea	tea	NOUN
aiti-6939	139	14	leaves	leave	NOUN
aiti-6939	139	15	from	from	ADP
aiti-6939	139	16	the	the	DET
aiti-6939	139	17	vacuum	vacuum	NOUN
aiti-6939	139	18	packaging	packaging	NOUN
aiti-6939	139	19	into	into	ADP
aiti-6939	139	20	a	a	DET
aiti-6939	139	21	zipper	zipper	NOUN
aiti-6939	139	22	storage	storage	NOUN
aiti-6939	139	23	bag	bag	NOUN
aiti-6939	139	24	.	.	PUNCT
aiti-6939	140	1	b.	b.	PROPN
aiti-6939	140	2	put	put	VERB
aiti-6939	140	3	table	table	NOUN
aiti-6939	140	4	lamp	lamp	NOUN
aiti-6939	140	5	at	at	ADP
aiti-6939	140	6	paper	paper	NOUN
aiti-6939	140	7	box	box	PROPN
aiti-6939	140	8	’s	’s	PART
aiti-6939	140	9	left	leave	VERB
aiti-6939	140	10	side	side	NOUN
aiti-6939	140	11	.	.	PUNCT
aiti-6939	141	1	2	2	X
aiti-6939	141	2	.	.	X
aiti-6939	141	3	photograph	photograph	NOUN
aiti-6939	141	4	stage	stage	NOUN
aiti-6939	141	5	:	:	PUNCT
aiti-6939	141	6	a.	a.	NOUN
aiti-6939	141	7	pour	pour	NOUN
aiti-6939	141	8	tea	tea	NOUN
aiti-6939	141	9	leaves	leave	NOUN
aiti-6939	141	10	from	from	ADP
aiti-6939	141	11	the	the	DET
aiti-6939	141	12	zipper	zipper	NOUN
aiti-6939	141	13	storage	storage	NOUN
aiti-6939	141	14	bag	bag	NOUN
aiti-6939	141	15	into	into	ADP
aiti-6939	141	16	paper	paper	NOUN
aiti-6939	141	17	box	box	NOUN
aiti-6939	141	18	.	.	PUNCT
aiti-6939	142	1	b.	b.	PROPN
aiti-6939	142	2	shake	shake	VERB
aiti-6939	142	3	the	the	DET
aiti-6939	142	4	paper	paper	NOUN
aiti-6939	142	5	box	box	NOUN
aiti-6939	142	6	to	to	PART
aiti-6939	142	7	spread	spread	VERB
aiti-6939	142	8	the	the	DET
aiti-6939	142	9	tea	tea	NOUN
aiti-6939	142	10	leaves	leave	VERB
aiti-6939	142	11	evenly	evenly	ADV
aiti-6939	142	12	on	on	ADP
aiti-6939	142	13	the	the	DET
aiti-6939	142	14	paper	paper	NOUN
aiti-6939	142	15	.	.	PUNCT
aiti-6939	143	1	c.	c.	PROPN
aiti-6939	143	2	photograph	photograph	VERB
aiti-6939	143	3	the	the	DET
aiti-6939	143	4	tea	tea	NOUN
aiti-6939	143	5	leaves	leave	NOUN
aiti-6939	143	6	using	use	VERB
aiti-6939	143	7	camera	camera	NOUN
aiti-6939	143	8	.	.	PUNCT
aiti-6939	144	1	each	each	DET
aiti-6939	144	2	image	image	NOUN
aiti-6939	144	3	must	must	AUX
aiti-6939	144	4	have	have	VERB
aiti-6939	144	5	good	good	ADJ
aiti-6939	144	6	focus	focus	NOUN
aiti-6939	144	7	,	,	PUNCT
aiti-6939	144	8	high	high	ADJ
aiti-6939	144	9	resolution	resolution	NOUN
aiti-6939	144	10	,	,	PUNCT
aiti-6939	144	11	and	and	CCONJ
aiti-6939	144	12	uniform	uniform	ADJ
aiti-6939	144	13	brightness	brightness	NOUN
aiti-6939	144	14	.	.	PUNCT
aiti-6939	145	1	d.	d.	PROPN
aiti-6939	145	2	repeat	repeat	VERB
aiti-6939	145	3	above	above	ADP
aiti-6939	145	4	steps	step	NOUN
aiti-6939	145	5	(	(	PUNCT
aiti-6939	145	6	step	step	VERB
aiti-6939	145	7	a	a	DET
aiti-6939	145	8	~	~	PUNCT
aiti-6939	145	9	c	c	X
aiti-6939	145	10	)	)	PUNCT
aiti-6939	145	11	until	until	SCONJ
aiti-6939	145	12	the	the	DET
aiti-6939	145	13	desired	desire	VERB
aiti-6939	145	14	image	image	NOUN
aiti-6939	145	15	number	number	NOUN
aiti-6939	145	16	is	be	AUX
aiti-6939	145	17	achieved	achieve	VERB
aiti-6939	145	18	.	.	PUNCT
aiti-6939	146	1	e.	e.	PROPN
aiti-6939	146	2	finally	finally	ADV
aiti-6939	146	3	,	,	PUNCT
aiti-6939	146	4	check	check	VERB
aiti-6939	146	5	image	image	NOUN
aiti-6939	146	6	quality	quality	NOUN
aiti-6939	146	7	.	.	PUNCT
aiti-6939	147	1	replace	replace	VERB
aiti-6939	147	2	unqualified	unqualified	ADJ
aiti-6939	147	3	image	image	NOUN
aiti-6939	147	4	with	with	ADP
aiti-6939	147	5	new	new	ADJ
aiti-6939	147	6	image	image	NOUN
aiti-6939	147	7	.	.	PUNCT
aiti-6939	148	1	fig	fig	NOUN
aiti-6939	148	2	.	.	PUNCT
aiti-6939	149	1	10	10	NUM
aiti-6939	149	2	paper	paper	NOUN
aiti-6939	149	3	box	box	NOUN
aiti-6939	149	4	template	template	NOUN
aiti-6939	149	5	6.2	6.2	NUM
aiti-6939	149	6	.	.	PUNCT
aiti-6939	150	1	image	image	NOUN
aiti-6939	150	2	pre	pre	NOUN
aiti-6939	150	3	-	-	ADJ
aiti-6939	150	4	processing	process	VERB
aiti-6939	150	5	there	there	PRON
aiti-6939	150	6	are	be	VERB
aiti-6939	150	7	three	three	NUM
aiti-6939	150	8	steps	step	NOUN
aiti-6939	150	9	in	in	ADP
aiti-6939	150	10	tea	tea	NOUN
aiti-6939	150	11	image	image	NOUN
aiti-6939	150	12	pre	pre	ADJ
aiti-6939	150	13	-	-	ADJ
aiti-6939	150	14	processing	processing	ADJ
aiti-6939	150	15	stage	stage	NOUN
aiti-6939	150	16	:	:	PUNCT
aiti-6939	150	17	step	step	NOUN
aiti-6939	150	18	1	1	NUM
aiti-6939	150	19	:	:	PUNCT
aiti-6939	150	20	assume	assume	VERB
aiti-6939	150	21	an	an	DET
aiti-6939	150	22	image	image	NOUN
aiti-6939	150	23	’s	’s	PART
aiti-6939	150	24	size	size	NOUN
aiti-6939	150	25	is	be	AUX
aiti-6939	150	26	x	x	X
aiti-6939	150	27	×	×	PROPN
aiti-6939	150	28	y	y	PROPN
aiti-6939	150	29	,	,	PUNCT
aiti-6939	150	30	where	where	SCONJ
aiti-6939	150	31	x	x	PRON
aiti-6939	150	32	is	be	AUX
aiti-6939	150	33	the	the	DET
aiti-6939	150	34	shorter	short	ADJ
aiti-6939	150	35	side	side	NOUN
aiti-6939	150	36	.	.	PUNCT
aiti-6939	151	1	(	(	PUNCT
aiti-6939	151	2	in	in	ADP
aiti-6939	151	3	this	this	DET
aiti-6939	151	4	study	study	NOUN
aiti-6939	151	5	,	,	PUNCT
aiti-6939	151	6	the	the	DET
aiti-6939	151	7	image	image	NOUN
aiti-6939	151	8	resolution	resolution	NOUN
aiti-6939	151	9	is	be	AUX
aiti-6939	151	10	3412	3412	NUM
aiti-6939	151	11	×	×	PROPN
aiti-6939	151	12	1920	1920	NUM
aiti-6939	151	13	pixels	pixel	NOUN
aiti-6939	151	14	.	.	PUNCT
aiti-6939	151	15	)	)	PUNCT
aiti-6939	152	1	this	this	DET
aiti-6939	152	2	image	image	NOUN
aiti-6939	152	3	is	be	AUX
aiti-6939	152	4	cropped	crop	VERB
aiti-6939	152	5	into	into	ADP
aiti-6939	152	6	x	x	SYM
aiti-6939	152	7	×	×	NOUN
aiti-6939	152	8	x	x	X
aiti-6939	152	9	(	(	PUNCT
aiti-6939	152	10	fig	fig	NOUN
aiti-6939	152	11	.	.	PUNCT
aiti-6939	153	1	11	11	NUM
aiti-6939	153	2	)	)	PUNCT
aiti-6939	153	3	.	.	PUNCT
aiti-6939	154	1	step	step	NOUN
aiti-6939	154	2	2	2	NUM
aiti-6939	154	3	:	:	PUNCT
aiti-6939	154	4	the	the	DET
aiti-6939	154	5	second	second	ADJ
aiti-6939	154	6	step	step	NOUN
aiti-6939	154	7	is	be	AUX
aiti-6939	154	8	cropping	crop	VERB
aiti-6939	154	9	the	the	DET
aiti-6939	154	10	surrounding	surround	VERB
aiti-6939	154	11	100	100	NUM
aiti-6939	154	12	pixels	pixel	NOUN
aiti-6939	154	13	of	of	ADP
aiti-6939	154	14	image	image	NOUN
aiti-6939	154	15	,	,	PUNCT
aiti-6939	154	16	in	in	ADP
aiti-6939	154	17	order	order	NOUN
aiti-6939	154	18	to	to	PART
aiti-6939	154	19	remove	remove	VERB
aiti-6939	154	20	the	the	DET
aiti-6939	154	21	paper	paper	NOUN
aiti-6939	154	22	box	box	PROPN
aiti-6939	154	23	wall	wall	PROPN
aiti-6939	154	24	part	part	NOUN
aiti-6939	154	25	in	in	ADP
aiti-6939	154	26	the	the	DET
aiti-6939	154	27	image	image	NOUN
aiti-6939	154	28	(	(	PUNCT
aiti-6939	154	29	fig	fig	NOUN
aiti-6939	154	30	.	.	PUNCT
aiti-6939	154	31	12	12	NUM
aiti-6939	154	32	)	)	PUNCT
aiti-6939	154	33	to	to	PART
aiti-6939	154	34	get	get	VERB
aiti-6939	154	35	a	a	DET
aiti-6939	154	36	new	new	ADJ
aiti-6939	154	37	image	image	NOUN
aiti-6939	154	38	(	(	PUNCT
aiti-6939	154	39	image	image	NOUN
aiti-6939	154	40	size	size	NOUN
aiti-6939	154	41	:	:	PUNCT
aiti-6939	154	42	(	(	PUNCT
aiti-6939	154	43	x-200	x-200	PROPN
aiti-6939	154	44	)	)	PUNCT
aiti-6939	154	45	×	×	NOUN
aiti-6939	154	46	(	(	PUNCT
aiti-6939	154	47	x-200	x-200	PROPN
aiti-6939	154	48	)	)	PUNCT
aiti-6939	154	49	)	)	PUNCT
aiti-6939	154	50	and	and	CCONJ
aiti-6939	154	51	resize	resize	VERB
aiti-6939	154	52	the	the	DET
aiti-6939	154	53	new	new	ADJ
aiti-6939	154	54	image	image	NOUN
aiti-6939	154	55	to	to	ADP
aiti-6939	154	56	1536	1536	NUM
aiti-6939	154	57	×	×	NOUN
aiti-6939	154	58	1536	1536	NUM
aiti-6939	154	59	pixels	pixel	NOUN
aiti-6939	154	60	(	(	PUNCT
aiti-6939	154	61	fig	fig	NOUN
aiti-6939	154	62	.	.	PUNCT
aiti-6939	154	63	13	13	NUM
aiti-6939	154	64	)	)	PUNCT
aiti-6939	154	65	.	.	PUNCT
aiti-6939	155	1	205	205	NUM
aiti-6939	155	2	advances	advance	NOUN
aiti-6939	155	3	in	in	ADP
aiti-6939	155	4	technology	technology	NOUN
aiti-6939	155	5	innovation	innovation	NOUN
aiti-6939	155	6	,	,	PUNCT
aiti-6939	155	7	vol	vol	NOUN
aiti-6939	155	8	.	.	PROPN
aiti-6939	155	9	6	6	NUM
aiti-6939	155	10	,	,	PUNCT
aiti-6939	155	11	no	no	INTJ
aiti-6939	155	12	.	.	NOUN
aiti-6939	155	13	4	4	NUM
aiti-6939	155	14	,	,	PUNCT
aiti-6939	155	15	2021	2021	NUM
aiti-6939	155	16	,	,	PUNCT
aiti-6939	155	17	pp	pp	ADJ
aiti-6939	155	18	.	.	PUNCT
aiti-6939	155	19	199	199	NUM
aiti-6939	155	20	-	-	SYM
aiti-6939	155	21	212	212	NUM
aiti-6939	155	22	step	step	NOUN
aiti-6939	155	23	3	3	NUM
aiti-6939	155	24	:	:	PUNCT
aiti-6939	155	25	the	the	DET
aiti-6939	155	26	third	third	ADJ
aiti-6939	155	27	step	step	NOUN
aiti-6939	155	28	is	be	AUX
aiti-6939	155	29	cropping	crop	VERB
aiti-6939	155	30	the	the	DET
aiti-6939	155	31	square	square	ADJ
aiti-6939	155	32	image	image	NOUN
aiti-6939	155	33	into	into	ADP
aiti-6939	155	34	multiple	multiple	ADJ
aiti-6939	155	35	450	450	NUM
aiti-6939	155	36	×	×	NOUN
aiti-6939	155	37	450	450	NUM
aiti-6939	155	38	pixels	pixel	NOUN
aiti-6939	155	39	sub	sub	NOUN
aiti-6939	155	40	-	-	NOUN
aiti-6939	155	41	images	image	NOUN
aiti-6939	155	42	where	where	SCONJ
aiti-6939	155	43	each	each	DET
aiti-6939	155	44	sub	sub	NOUN
aiti-6939	155	45	-	-	NOUN
aiti-6939	155	46	image	image	NOUN
aiti-6939	155	47	is	be	AUX
aiti-6939	155	48	cropped	crop	VERB
aiti-6939	155	49	for	for	ADP
aiti-6939	155	50	every	every	DET
aiti-6939	155	51	20	20	NUM
aiti-6939	155	52	pixels	pixel	NOUN
aiti-6939	155	53	spacing	space	VERB
aiti-6939	155	54	.	.	PUNCT
aiti-6939	156	1	the	the	DET
aiti-6939	156	2	image	image	NOUN
aiti-6939	156	3	cropping	crop	VERB
aiti-6939	156	4	procedure	procedure	NOUN
aiti-6939	156	5	serves	serve	VERB
aiti-6939	156	6	two	two	NUM
aiti-6939	156	7	purposes	purpose	NOUN
aiti-6939	156	8	:	:	PUNCT
aiti-6939	156	9	the	the	DET
aiti-6939	156	10	first	first	ADJ
aiti-6939	156	11	purpose	purpose	NOUN
aiti-6939	156	12	is	be	AUX
aiti-6939	156	13	to	to	PART
aiti-6939	156	14	examine	examine	VERB
aiti-6939	156	15	the	the	DET
aiti-6939	156	16	effectiveness	effectiveness	NOUN
aiti-6939	156	17	of	of	ADP
aiti-6939	156	18	majority	majority	NOUN
aiti-6939	156	19	voting	voting	NOUN
aiti-6939	156	20	,	,	PUNCT
aiti-6939	156	21	which	which	PRON
aiti-6939	156	22	originates	originate	VERB
aiti-6939	156	23	from	from	ADP
aiti-6939	156	24	the	the	DET
aiti-6939	156	25	second	second	ADJ
aiti-6939	156	26	observation	observation	NOUN
aiti-6939	156	27	;	;	PUNCT
aiti-6939	156	28	the	the	DET
aiti-6939	156	29	second	second	ADJ
aiti-6939	156	30	purpose	purpose	NOUN
aiti-6939	156	31	is	be	AUX
aiti-6939	156	32	for	for	ADP
aiti-6939	156	33	data	data	NOUN
aiti-6939	156	34	augmentation	augmentation	NOUN
aiti-6939	156	35	,	,	PUNCT
aiti-6939	156	36	which	which	PRON
aiti-6939	156	37	increases	increase	VERB
aiti-6939	156	38	data	datum	NOUN
aiti-6939	156	39	sample	sample	NOUN
aiti-6939	156	40	size	size	NOUN
aiti-6939	156	41	by	by	ADP
aiti-6939	156	42	cropping	crop	VERB
aiti-6939	156	43	image	image	NOUN
aiti-6939	156	44	into	into	ADP
aiti-6939	156	45	sub	sub	NOUN
aiti-6939	156	46	-	-	NOUN
aiti-6939	156	47	images	image	NOUN
aiti-6939	156	48	.	.	PUNCT
aiti-6939	157	1	finally	finally	ADV
aiti-6939	157	2	,	,	PUNCT
aiti-6939	157	3	all	all	DET
aiti-6939	157	4	sub	sub	NOUN
aiti-6939	157	5	-	-	NOUN
aiti-6939	157	6	images	image	NOUN
aiti-6939	157	7	are	be	AUX
aiti-6939	157	8	resized	resize	VERB
aiti-6939	157	9	into	into	ADP
aiti-6939	157	10	224	224	NUM
aiti-6939	157	11	×	×	NOUN
aiti-6939	157	12	224	224	NUM
aiti-6939	157	13	pixels	pixel	NOUN
aiti-6939	157	14	and	and	CCONJ
aiti-6939	157	15	converted	convert	VERB
aiti-6939	157	16	into	into	ADP
aiti-6939	157	17	gray	gray	ADJ
aiti-6939	157	18	scale	scale	NOUN
aiti-6939	157	19	images	image	NOUN
aiti-6939	157	20	(	(	PUNCT
aiti-6939	157	21	figs	fig	NOUN
aiti-6939	157	22	.	.	PUNCT
aiti-6939	158	1	14	14	NUM
aiti-6939	158	2	and	and	CCONJ
aiti-6939	158	3	15	15	NUM
aiti-6939	158	4	)	)	PUNCT
aiti-6939	158	5	.	.	PUNCT
aiti-6939	159	1	these	these	DET
aiti-6939	159	2	final	final	ADJ
aiti-6939	159	3	gray	gray	ADJ
aiti-6939	159	4	scale	scale	NOUN
aiti-6939	159	5	sub	sub	NOUN
aiti-6939	159	6	-	-	NOUN
aiti-6939	159	7	images	image	NOUN
aiti-6939	159	8	will	will	AUX
aiti-6939	159	9	be	be	AUX
aiti-6939	159	10	input	input	ADJ
aiti-6939	159	11	to	to	ADP
aiti-6939	159	12	the	the	DET
aiti-6939	159	13	model	model	NOUN
aiti-6939	159	14	for	for	ADP
aiti-6939	159	15	training	training	NOUN
aiti-6939	159	16	.	.	PUNCT
aiti-6939	160	1	fig	fig	NOUN
aiti-6939	160	2	.	.	PUNCT
aiti-6939	161	1	11	11	NUM
aiti-6939	161	2	step	step	NOUN
aiti-6939	161	3	1	1	NUM
aiti-6939	161	4	in	in	ADP
aiti-6939	161	5	image	image	NOUN
aiti-6939	161	6	pre	pre	ADJ
aiti-6939	161	7	-	-	ADJ
aiti-6939	161	8	processing	processing	ADJ
aiti-6939	161	9	stage	stage	NOUN
aiti-6939	161	10	fig	fig	NOUN
aiti-6939	161	11	.	.	PUNCT
aiti-6939	162	1	12	12	NUM
aiti-6939	162	2	the	the	DET
aiti-6939	162	3	paper	paper	NOUN
aiti-6939	162	4	box	box	PROPN
aiti-6939	162	5	wall	wall	PROPN
aiti-6939	162	6	part	part	PROPN
aiti-6939	162	7	in	in	ADP
aiti-6939	162	8	the	the	DET
aiti-6939	162	9	tea	tea	NOUN
aiti-6939	162	10	image	image	NOUN
aiti-6939	162	11	fig	fig	NOUN
aiti-6939	162	12	.	.	PUNCT
aiti-6939	163	1	13	13	NUM
aiti-6939	163	2	step	step	NOUN
aiti-6939	163	3	2	2	NUM
aiti-6939	163	4	in	in	ADP
aiti-6939	163	5	image	image	NOUN
aiti-6939	163	6	pre	pre	ADJ
aiti-6939	163	7	-	-	ADJ
aiti-6939	163	8	processing	processing	ADJ
aiti-6939	163	9	stage	stage	NOUN
aiti-6939	163	10	fig	fig	NOUN
aiti-6939	163	11	.	.	PUNCT
aiti-6939	164	1	14	14	NUM
aiti-6939	164	2	step	step	NOUN
aiti-6939	164	3	3	3	NUM
aiti-6939	164	4	in	in	ADP
aiti-6939	164	5	image	image	NOUN
aiti-6939	164	6	pre	pre	ADJ
aiti-6939	164	7	-	-	ADJ
aiti-6939	164	8	processing	processing	ADJ
aiti-6939	164	9	stage	stage	NOUN
aiti-6939	164	10	(	(	PUNCT
aiti-6939	164	11	a	a	X
aiti-6939	164	12	)	)	PUNCT
aiti-6939	164	13	class	class	NOUN
aiti-6939	164	14	0	0	NUM
aiti-6939	164	15	(	(	PUNCT
aiti-6939	164	16	b	b	NOUN
aiti-6939	164	17	)	)	PUNCT
aiti-6939	164	18	class	class	NOUN
aiti-6939	164	19	1	1	NUM
aiti-6939	164	20	(	(	PUNCT
aiti-6939	164	21	c	c	NOUN
aiti-6939	164	22	)	)	PUNCT
aiti-6939	164	23	class	class	NOUN
aiti-6939	164	24	2	2	NUM
aiti-6939	164	25	(	(	PUNCT
aiti-6939	164	26	d	d	NOUN
aiti-6939	164	27	)	)	PUNCT
aiti-6939	164	28	class	class	NOUN
aiti-6939	164	29	3	3	NUM
aiti-6939	164	30	(	(	PUNCT
aiti-6939	164	31	e	e	NOUN
aiti-6939	164	32	)	)	PUNCT
aiti-6939	164	33	class	class	NOUN
aiti-6939	164	34	4	4	NUM
aiti-6939	164	35	(	(	PUNCT
aiti-6939	164	36	f	f	X
aiti-6939	164	37	)	)	PUNCT
aiti-6939	164	38	class	class	NOUN
aiti-6939	164	39	5	5	NUM
aiti-6939	164	40	fig	fig	NOUN
aiti-6939	164	41	.	.	PUNCT
aiti-6939	165	1	15	15	NUM
aiti-6939	165	2	oolong	oolong	NOUN
aiti-6939	165	3	tea	tea	NOUN
aiti-6939	165	4	classes	class	NOUN
aiti-6939	165	5	gray	gray	ADJ
aiti-6939	165	6	scale	scale	NOUN
aiti-6939	165	7	sub	sub	NOUN
aiti-6939	165	8	-	-	NOUN
aiti-6939	165	9	images	image	NOUN
aiti-6939	165	10	206	206	NUM
aiti-6939	165	11	advances	advance	NOUN
aiti-6939	165	12	in	in	ADP
aiti-6939	165	13	technology	technology	NOUN
aiti-6939	165	14	innovation	innovation	NOUN
aiti-6939	165	15	,	,	PUNCT
aiti-6939	165	16	vol	vol	NOUN
aiti-6939	165	17	.	.	PROPN
aiti-6939	165	18	6	6	NUM
aiti-6939	165	19	,	,	PUNCT
aiti-6939	165	20	no	no	INTJ
aiti-6939	165	21	.	.	NOUN
aiti-6939	165	22	4	4	NUM
aiti-6939	165	23	,	,	PUNCT
aiti-6939	165	24	2021	2021	NUM
aiti-6939	165	25	,	,	PUNCT
aiti-6939	165	26	pp	pp	ADJ
aiti-6939	165	27	.	.	PUNCT
aiti-6939	165	28	199	199	NUM
aiti-6939	165	29	-	-	SYM
aiti-6939	165	30	212	212	NUM
aiti-6939	165	31	7	7	NUM
aiti-6939	165	32	.	.	PUNCT
aiti-6939	165	33	experiment	experiment	NOUN
aiti-6939	165	34	7.1	7.1	NUM
aiti-6939	165	35	.	.	PUNCT
aiti-6939	166	1	machine	machine	NOUN
aiti-6939	166	2	learning	learning	NOUN
aiti-6939	166	3	model	model	NOUN
aiti-6939	166	4	the	the	DET
aiti-6939	166	5	whole	whole	ADJ
aiti-6939	166	6	model	model	NOUN
aiti-6939	166	7	is	be	AUX
aiti-6939	166	8	composed	compose	VERB
aiti-6939	166	9	of	of	ADP
aiti-6939	166	10	two	two	NUM
aiti-6939	166	11	sub	sub	NOUN
aiti-6939	166	12	-	-	NOUN
aiti-6939	166	13	models	model	NOUN
aiti-6939	166	14	:	:	PUNCT
aiti-6939	166	15	the	the	DET
aiti-6939	166	16	first	first	ADJ
aiti-6939	166	17	sub	sub	NOUN
aiti-6939	166	18	-	-	NOUN
aiti-6939	166	19	model	model	NOUN
aiti-6939	166	20	is	be	AUX
aiti-6939	166	21	a	a	DET
aiti-6939	166	22	pre	pre	ADJ
aiti-6939	166	23	-	-	ADJ
aiti-6939	166	24	trained	train	VERB
aiti-6939	166	25	inceptionv3	inceptionv3	NOUN
aiti-6939	166	26	model	model	NOUN
aiti-6939	166	27	(	(	PUNCT
aiti-6939	166	28	weight	weight	NOUN
aiti-6939	166	29	:	:	PUNCT
aiti-6939	166	30	imagenet	imagenet	NOUN
aiti-6939	166	31	)	)	PUNCT
aiti-6939	166	32	plus	plus	CCONJ
aiti-6939	166	33	three	three	NUM
aiti-6939	166	34	additional	additional	ADJ
aiti-6939	166	35	layers	layer	NOUN
aiti-6939	166	36	,	,	PUNCT
aiti-6939	166	37	and	and	CCONJ
aiti-6939	166	38	the	the	DET
aiti-6939	166	39	second	second	ADJ
aiti-6939	166	40	sub	sub	NOUN
aiti-6939	166	41	-	-	NOUN
aiti-6939	166	42	model	model	NOUN
aiti-6939	166	43	is	be	AUX
aiti-6939	166	44	xgboost	xgboost	PROPN
aiti-6939	166	45	model	model	PROPN
aiti-6939	166	46	.	.	PUNCT
aiti-6939	167	1	fig	fig	NOUN
aiti-6939	167	2	.	.	PUNCT
aiti-6939	168	1	16	16	NUM
aiti-6939	168	2	shows	show	VERB
aiti-6939	168	3	overall	overall	ADJ
aiti-6939	168	4	model	model	NOUN
aiti-6939	168	5	architecture	architecture	NOUN
aiti-6939	168	6	and	and	CCONJ
aiti-6939	168	7	layer	layer	NOUN
aiti-6939	168	8	shape	shape	NOUN
aiti-6939	168	9	information	information	NOUN
aiti-6939	168	10	.	.	PUNCT
aiti-6939	169	1	table	table	NOUN
aiti-6939	169	2	4	4	NUM
aiti-6939	169	3	and	and	CCONJ
aiti-6939	169	4	table	table	NOUN
aiti-6939	169	5	5	5	NUM
aiti-6939	169	6	show	show	VERB
aiti-6939	169	7	the	the	DET
aiti-6939	169	8	two	two	NUM
aiti-6939	169	9	sub	sub	NOUN
aiti-6939	169	10	-	-	ADJ
aiti-6939	169	11	models	model	NOUN
aiti-6939	169	12	’	'	PUNCT
aiti-6939	169	13	parameters	parameter	NOUN
aiti-6939	169	14	and	and	CCONJ
aiti-6939	169	15	hyperparameters	hyperparameter	NOUN
aiti-6939	169	16	.	.	PUNCT
aiti-6939	170	1	in	in	ADP
aiti-6939	170	2	training	training	NOUN
aiti-6939	170	3	process	process	NOUN
aiti-6939	170	4	,	,	PUNCT
aiti-6939	170	5	n	n	PROPN
aiti-6939	170	6	224	224	NUM
aiti-6939	170	7	×	×	NOUN
aiti-6939	170	8	224	224	NUM
aiti-6939	170	9	pixels	pixel	NOUN
aiti-6939	170	10	gray	gray	ADJ
aiti-6939	170	11	scale	scale	NOUN
aiti-6939	170	12	training	train	VERB
aiti-6939	170	13	sub	sub	NOUN
aiti-6939	170	14	-	-	NOUN
aiti-6939	170	15	images	image	NOUN
aiti-6939	170	16	are	be	AUX
aiti-6939	170	17	input	input	NOUN
aiti-6939	170	18	to	to	ADP
aiti-6939	170	19	the	the	DET
aiti-6939	170	20	pre	pre	ADJ
aiti-6939	170	21	-	-	ADJ
aiti-6939	170	22	trained	train	VERB
aiti-6939	170	23	inceptionv3	inceptionv3	NOUN
aiti-6939	170	24	model	model	NOUN
aiti-6939	170	25	conducting	conduct	VERB
aiti-6939	170	26	transfer	transfer	NOUN
aiti-6939	170	27	learning	learning	NOUN
aiti-6939	170	28	.	.	PUNCT
aiti-6939	171	1	after	after	SCONJ
aiti-6939	171	2	the	the	DET
aiti-6939	171	3	first	first	ADJ
aiti-6939	171	4	trained	train	VERB
aiti-6939	171	5	sub	sub	NOUN
aiti-6939	171	6	-	-	NOUN
aiti-6939	171	7	model	model	NOUN
aiti-6939	171	8	is	be	AUX
aiti-6939	171	9	obtained	obtain	VERB
aiti-6939	171	10	,	,	PUNCT
aiti-6939	171	11	these	these	DET
aiti-6939	171	12	n	n	PRON
aiti-6939	171	13	sub	sub	NOUN
aiti-6939	171	14	-	-	NOUN
aiti-6939	171	15	images	image	NOUN
aiti-6939	171	16	are	be	AUX
aiti-6939	171	17	input	input	NOUN
aiti-6939	171	18	to	to	ADP
aiti-6939	171	19	the	the	DET
aiti-6939	171	20	first	first	ADJ
aiti-6939	171	21	trained	train	VERB
aiti-6939	171	22	sub	sub	NOUN
aiti-6939	171	23	-	-	NOUN
aiti-6939	171	24	model	model	NOUN
aiti-6939	171	25	for	for	ADP
aiti-6939	171	26	prediction	prediction	NOUN
aiti-6939	171	27	,	,	PUNCT
aiti-6939	171	28	and	and	CCONJ
aiti-6939	171	29	n	n	CCONJ
aiti-6939	171	30	128	128	NUM
aiti-6939	171	31	-	-	PUNCT
aiti-6939	171	32	dimentional	dimentional	ADJ
aiti-6939	171	33	embedding	embed	VERB
aiti-6939	171	34	vectors	vector	NOUN
aiti-6939	171	35	are	be	AUX
aiti-6939	171	36	obtained	obtain	VERB
aiti-6939	171	37	.	.	PUNCT
aiti-6939	172	1	finally	finally	ADV
aiti-6939	172	2	,	,	PUNCT
aiti-6939	172	3	these	these	DET
aiti-6939	172	4	vectors	vector	NOUN
aiti-6939	172	5	are	be	AUX
aiti-6939	172	6	input	input	ADJ
aiti-6939	172	7	to	to	PART
aiti-6939	172	8	train	train	VERB
aiti-6939	172	9	the	the	DET
aiti-6939	172	10	xgboost	xgboost	PROPN
aiti-6939	172	11	model	model	PROPN
aiti-6939	172	12	.	.	PUNCT
aiti-6939	173	1	fig	fig	NOUN
aiti-6939	173	2	.	.	PUNCT
aiti-6939	174	1	16	16	NUM
aiti-6939	174	2	model	model	NOUN
aiti-6939	174	3	architecture	architecture	NOUN
aiti-6939	174	4	and	and	CCONJ
aiti-6939	174	5	neural	neural	ADJ
aiti-6939	174	6	layer	layer	NOUN
aiti-6939	174	7	shape	shape	NOUN
aiti-6939	174	8	table	table	NOUN
aiti-6939	174	9	4	4	NUM
aiti-6939	174	10	parameters	parameter	NOUN
aiti-6939	174	11	and	and	CCONJ
aiti-6939	174	12	hyperparameters	hyperparameter	NOUN
aiti-6939	174	13	of	of	ADP
aiti-6939	174	14	inceptionv3	inceptionv3	NOUN
aiti-6939	174	15	model	model	NOUN
aiti-6939	174	16	optimization	optimization	NOUN
aiti-6939	174	17	function	function	NOUN
aiti-6939	174	18	epochs	epoch	NOUN
aiti-6939	174	19	learning	learn	VERB
aiti-6939	174	20	rate	rate	NOUN
aiti-6939	174	21	loss	loss	NOUN
aiti-6939	174	22	function	function	NOUN
aiti-6939	174	23	triplet	triplet	NOUN
aiti-6939	174	24	loss	loss	NOUN
aiti-6939	174	25	threshold	threshold	NOUN
aiti-6939	174	26	value	value	NOUN
aiti-6939	174	27	inceptionv3	inceptionv3	NOUN
aiti-6939	174	28	adaptive	adaptive	ADJ
aiti-6939	174	29	moment	moment	NOUN
aiti-6939	174	30	estimation	estimation	NOUN
aiti-6939	174	31	(	(	PUNCT
aiti-6939	174	32	adam	adam	PROPN
aiti-6939	174	33	)	)	PUNCT
aiti-6939	174	34	5000	5000	NUM
aiti-6939	174	35	1e-6	1e-6	PROPN
aiti-6939	174	36	triplet	triplet	NOUN
aiti-6939	174	37	loss	loss	NOUN
aiti-6939	174	38	0.001	0.001	NUM
aiti-6939	174	39	table	table	NOUN
aiti-6939	174	40	5	5	NUM
aiti-6939	174	41	parameters	parameter	NOUN
aiti-6939	174	42	and	and	CCONJ
aiti-6939	174	43	hyperparameters	hyperparameter	NOUN
aiti-6939	174	44	of	of	ADP
aiti-6939	174	45	xgboost	xgboost	PROPN
aiti-6939	174	46	model	model	PROPN
aiti-6939	174	47	model	model	NOUN
aiti-6939	174	48	class	class	NOUN
aiti-6939	174	49	number	number	NOUN
aiti-6939	174	50	tree	tree	NOUN
aiti-6939	174	51	depth	depth	NOUN
aiti-6939	174	52	epochs	epoch	NOUN
aiti-6939	174	53	learning	learn	VERB
aiti-6939	174	54	rate	rate	NOUN
aiti-6939	174	55	tree	tree	NOUN
aiti-6939	174	56	number	number	NOUN
aiti-6939	174	57	of	of	ADP
aiti-6939	174	58	boosting	boost	VERB
aiti-6939	174	59	iterations	iteration	NOUN
aiti-6939	174	60	xgboost	xgboost	ADV
aiti-6939	174	61	6	6	NUM
aiti-6939	174	62	20	20	NUM
aiti-6939	174	63	500	500	NUM
aiti-6939	174	64	0.1	0.1	NUM
aiti-6939	174	65	20	20	NUM
aiti-6939	174	66	7.2	7.2	NUM
aiti-6939	174	67	.	.	PUNCT
aiti-6939	174	68	hardware	hardware	NOUN
aiti-6939	174	69	and	and	CCONJ
aiti-6939	174	70	software	software	NOUN
aiti-6939	174	71	programs	program	NOUN
aiti-6939	174	72	are	be	AUX
aiti-6939	174	73	run	run	VERB
aiti-6939	174	74	on	on	ADP
aiti-6939	174	75	nvidia	nvidia	PROPN
aiti-6939	174	76	dgx-1	dgx-1	ADJ
aiti-6939	174	77	machine	machine	NOUN
aiti-6939	174	78	,	,	PUNCT
aiti-6939	174	79	which	which	PRON
aiti-6939	174	80	has	have	VERB
aiti-6939	174	81	8	8	NUM
aiti-6939	174	82	gpus	gpu	NOUN
aiti-6939	174	83	(	(	PUNCT
aiti-6939	174	84	tesla	tesla	PROPN
aiti-6939	174	85	v100	v100	PROPN
aiti-6939	174	86	-	-	PUNCT
aiti-6939	174	87	sxm2	sxm2	PROPN
aiti-6939	174	88	)	)	PUNCT
aiti-6939	174	89	and	and	CCONJ
aiti-6939	174	90	80	80	NUM
aiti-6939	174	91	cpus	cpu	NOUN
aiti-6939	174	92	(	(	PUNCT
aiti-6939	174	93	20	20	NUM
aiti-6939	174	94	-	-	PUNCT
aiti-6939	174	95	core	core	NOUN
aiti-6939	174	96	intel	intel	PROPN
aiti-6939	174	97	®	®	PROPN
aiti-6939	174	98	xeon	xeon	PROPN
aiti-6939	174	99	®	®	PROPN
aiti-6939	174	100	e5	e5	PROPN
aiti-6939	174	101	-	-	PUNCT
aiti-6939	174	102	2698	2698	NUM
aiti-6939	174	103	)	)	PUNCT
aiti-6939	174	104	.	.	PUNCT
aiti-6939	175	1	for	for	ADP
aiti-6939	175	2	software	software	NOUN
aiti-6939	175	3	,	,	PUNCT
aiti-6939	175	4	python	python	PROPN
aiti-6939	175	5	v3.6.7	v3.6.7	NOUN
aiti-6939	175	6	is	be	AUX
aiti-6939	175	7	used	use	VERB
aiti-6939	175	8	with	with	ADP
aiti-6939	175	9	modules	module	NOUN
aiti-6939	175	10	tensorflow	tensorflow	NOUN
aiti-6939	175	11	(	(	PUNCT
aiti-6939	175	12	1.15.0	1.15.0	NUM
aiti-6939	175	13	)	)	PUNCT
aiti-6939	175	14	,	,	PUNCT
aiti-6939	175	15	xgboost	xgboost	X
aiti-6939	175	16	(	(	PUNCT
aiti-6939	175	17	v0.90	v0.90	PROPN
aiti-6939	175	18	)	)	PUNCT
aiti-6939	175	19	,	,	PUNCT
aiti-6939	175	20	ipython	ipython	NOUN
aiti-6939	175	21	(	(	PUNCT
aiti-6939	175	22	v7.5.0	v7.5.0	NOUN
aiti-6939	175	23	)	)	PUNCT
aiti-6939	175	24	,	,	PUNCT
aiti-6939	175	25	matplotlib	matplotlib	PROPN
aiti-6939	175	26	(	(	PUNCT
aiti-6939	175	27	v3.1.0	v3.1.0	PROPN
aiti-6939	175	28	)	)	PUNCT
aiti-6939	175	29	,	,	PUNCT
aiti-6939	176	1	scikit	scikit	NOUN
aiti-6939	176	2	-	-	PUNCT
aiti-6939	176	3	learn	learn	VERB
aiti-6939	176	4	(	(	PUNCT
aiti-6939	176	5	v0.19.1	v0.19.1	ADJ
aiti-6939	176	6	)	)	PUNCT
aiti-6939	176	7	,	,	PUNCT
aiti-6939	176	8	pandas	panda	NOUN
aiti-6939	176	9	(	(	PUNCT
aiti-6939	176	10	v0.24.2	v0.24.2	NOUN
aiti-6939	176	11	)	)	PUNCT
aiti-6939	176	12	,	,	PUNCT
aiti-6939	176	13	and	and	CCONJ
aiti-6939	176	14	numpy	numpy	NOUN
aiti-6939	176	15	(	(	PUNCT
aiti-6939	176	16	v1.16.2	v1.16.2	NOUN
aiti-6939	176	17	)	)	PUNCT
aiti-6939	176	18	.	.	PUNCT
aiti-6939	177	1	207	207	NUM
aiti-6939	177	2	advances	advance	NOUN
aiti-6939	177	3	in	in	ADP
aiti-6939	177	4	technology	technology	NOUN
aiti-6939	177	5	innovation	innovation	NOUN
aiti-6939	177	6	,	,	PUNCT
aiti-6939	177	7	vol	vol	NOUN
aiti-6939	177	8	.	.	PROPN
aiti-6939	177	9	6	6	NUM
aiti-6939	177	10	,	,	PUNCT
aiti-6939	177	11	no	no	INTJ
aiti-6939	177	12	.	.	NOUN
aiti-6939	177	13	4	4	NUM
aiti-6939	177	14	,	,	PUNCT
aiti-6939	177	15	2021	2021	NUM
aiti-6939	177	16	,	,	PUNCT
aiti-6939	177	17	pp	pp	ADJ
aiti-6939	177	18	.	.	PUNCT
aiti-6939	178	1	199	199	NUM
aiti-6939	178	2	-	-	SYM
aiti-6939	178	3	212	212	NUM
aiti-6939	178	4	8	8	NUM
aiti-6939	178	5	.	.	PUNCT
aiti-6939	179	1	experiment	experiment	NOUN
aiti-6939	179	2	results	result	NOUN
aiti-6939	179	3	table	table	NOUN
aiti-6939	179	4	6	6	NUM
aiti-6939	179	5	shows	show	VERB
aiti-6939	179	6	the	the	DET
aiti-6939	179	7	experiment	experiment	NOUN
aiti-6939	179	8	result	result	NOUN
aiti-6939	179	9	using	use	VERB
aiti-6939	179	10	the	the	DET
aiti-6939	179	11	proposed	propose	VERB
aiti-6939	179	12	approach	approach	NOUN
aiti-6939	179	13	.	.	PUNCT
aiti-6939	180	1	the	the	DET
aiti-6939	180	2	test	test	NOUN
aiti-6939	180	3	accuracy	accuracy	NOUN
aiti-6939	180	4	of	of	ADP
aiti-6939	180	5	all	all	DET
aiti-6939	180	6	models	model	NOUN
aiti-6939	180	7	is	be	AUX
aiti-6939	180	8	greater	great	ADJ
aiti-6939	180	9	than	than	ADP
aiti-6939	180	10	97	97	NUM
aiti-6939	180	11	%	%	NOUN
aiti-6939	180	12	,	,	PUNCT
aiti-6939	180	13	which	which	PRON
aiti-6939	180	14	is	be	AUX
aiti-6939	180	15	better	well	ADJ
aiti-6939	180	16	than	than	ADP
aiti-6939	180	17	normal	normal	ADJ
aiti-6939	180	18	transfer	transfer	NOUN
aiti-6939	180	19	learning	learn	VERB
aiti-6939	180	20	training	training	NOUN
aiti-6939	180	21	approach	approach	NOUN
aiti-6939	180	22	.	.	PUNCT
aiti-6939	181	1	fig	fig	NOUN
aiti-6939	181	2	.	.	PUNCT
aiti-6939	182	1	17	17	NUM
aiti-6939	182	2	shows	show	VERB
aiti-6939	182	3	the	the	DET
aiti-6939	182	4	majority	majority	NOUN
aiti-6939	182	5	voting	voting	NOUN
aiti-6939	182	6	result	result	NOUN
aiti-6939	182	7	of	of	ADP
aiti-6939	182	8	class	class	NOUN
aiti-6939	182	9	0	0	NUM
aiti-6939	182	10	~	~	PUNCT
aiti-6939	182	11	class	class	NOUN
aiti-6939	182	12	5	5	NUM
aiti-6939	182	13	oolong	oolong	NOUN
aiti-6939	182	14	tea	tea	NOUN
aiti-6939	182	15	test	test	NOUN
aiti-6939	182	16	images	image	NOUN
aiti-6939	182	17	using	use	VERB
aiti-6939	182	18	“	"	PUNCT
aiti-6939	182	19	class	class	NOUN
aiti-6939	182	20	0	0	NUM
aiti-6939	182	21	as	as	ADP
aiti-6939	182	22	positive	positive	ADJ
aiti-6939	182	23	category	category	NOUN
aiti-6939	182	24	”	"	PUNCT
aiti-6939	182	25	model	model	NOUN
aiti-6939	182	26	,	,	PUNCT
aiti-6939	182	27	which	which	PRON
aiti-6939	182	28	shows	show	VERB
aiti-6939	182	29	that	that	SCONJ
aiti-6939	182	30	the	the	DET
aiti-6939	182	31	test	test	NOUN
aiti-6939	182	32	sub	sub	NOUN
aiti-6939	182	33	-	-	NOUN
aiti-6939	182	34	images	image	NOUN
aiti-6939	182	35	that	that	PRON
aiti-6939	182	36	belong	belong	VERB
aiti-6939	182	37	to	to	ADP
aiti-6939	182	38	class	class	NOUN
aiti-6939	182	39	0	0	NUM
aiti-6939	182	40	get	get	VERB
aiti-6939	182	41	higher	high	ADJ
aiti-6939	182	42	prediction	prediction	NOUN
aiti-6939	182	43	percentage	percentage	NOUN
aiti-6939	182	44	in	in	ADP
aiti-6939	182	45	positive	positive	ADJ
aiti-6939	182	46	category	category	NOUN
aiti-6939	182	47	and	and	CCONJ
aiti-6939	182	48	the	the	DET
aiti-6939	182	49	test	test	NOUN
aiti-6939	182	50	sub	sub	NOUN
aiti-6939	182	51	-	-	NOUN
aiti-6939	182	52	images	image	NOUN
aiti-6939	182	53	that	that	PRON
aiti-6939	182	54	belong	belong	VERB
aiti-6939	182	55	to	to	ADP
aiti-6939	182	56	class	class	NOUN
aiti-6939	182	57	1	1	NUM
aiti-6939	182	58	~	~	PUNCT
aiti-6939	182	59	class	class	NOUN
aiti-6939	182	60	5	5	NUM
aiti-6939	182	61	get	get	VERB
aiti-6939	182	62	the	the	DET
aiti-6939	182	63	higher	high	ADJ
aiti-6939	182	64	prediction	prediction	NOUN
aiti-6939	182	65	percentage	percentage	NOUN
aiti-6939	182	66	in	in	ADP
aiti-6939	182	67	negative	negative	ADJ
aiti-6939	182	68	category	category	NOUN
aiti-6939	182	69	.	.	PUNCT
aiti-6939	183	1	in	in	ADP
aiti-6939	183	2	each	each	DET
aiti-6939	183	3	sub	sub	NOUN
aiti-6939	183	4	-	-	NOUN
aiti-6939	183	5	plot	plot	NOUN
aiti-6939	183	6	,	,	PUNCT
aiti-6939	183	7	the	the	DET
aiti-6939	183	8	x	x	NOUN
aiti-6939	183	9	-	-	ADJ
aiti-6939	183	10	axis	axis	NOUN
aiti-6939	183	11	is	be	AUX
aiti-6939	183	12	test	test	NOUN
aiti-6939	183	13	image	image	NOUN
aiti-6939	183	14	sequence	sequence	NOUN
aiti-6939	183	15	and	and	CCONJ
aiti-6939	183	16	y	y	NOUN
aiti-6939	183	17	-	-	PUNCT
aiti-6939	183	18	axis	axis	NOUN
aiti-6939	183	19	is	be	AUX
aiti-6939	183	20	sub	sub	ADJ
aiti-6939	183	21	-	-	ADJ
aiti-6939	183	22	images	image	NOUN
aiti-6939	183	23	prediction	prediction	NOUN
aiti-6939	183	24	percentage	percentage	NOUN
aiti-6939	183	25	of	of	ADP
aiti-6939	183	26	positive	positive	ADJ
aiti-6939	183	27	category	category	NOUN
aiti-6939	183	28	and	and	CCONJ
aiti-6939	183	29	negative	negative	ADJ
aiti-6939	183	30	category	category	NOUN
aiti-6939	183	31	.	.	PUNCT
aiti-6939	184	1	positive	positive	ADJ
aiti-6939	184	2	category	category	NOUN
aiti-6939	184	3	label	label	NOUN
aiti-6939	184	4	is	be	AUX
aiti-6939	184	5	presented	present	VERB
aiti-6939	184	6	as	as	ADP
aiti-6939	184	7	red	red	ADJ
aiti-6939	184	8	dots	dot	NOUN
aiti-6939	184	9	and	and	CCONJ
aiti-6939	184	10	negative	negative	ADJ
aiti-6939	184	11	category	category	NOUN
aiti-6939	184	12	label	label	NOUN
aiti-6939	184	13	is	be	AUX
aiti-6939	184	14	presented	present	VERB
aiti-6939	184	15	as	as	ADP
aiti-6939	184	16	blue	blue	ADJ
aiti-6939	184	17	dots	dot	NOUN
aiti-6939	184	18	.	.	PUNCT
aiti-6939	185	1	fig	fig	NOUN
aiti-6939	185	2	.	.	PUNCT
aiti-6939	186	1	17	17	NUM
aiti-6939	186	2	suggests	suggest	VERB
aiti-6939	186	3	that	that	SCONJ
aiti-6939	186	4	the	the	DET
aiti-6939	186	5	second	second	ADJ
aiti-6939	186	6	observation	observation	NOUN
aiti-6939	186	7	is	be	AUX
aiti-6939	186	8	correct	correct	ADJ
aiti-6939	186	9	,	,	PUNCT
aiti-6939	186	10	meaning	mean	VERB
aiti-6939	186	11	that	that	SCONJ
aiti-6939	186	12	the	the	DET
aiti-6939	186	13	tea	tea	NOUN
aiti-6939	186	14	sub	sub	NOUN
aiti-6939	186	15	-	-	NOUN
aiti-6939	186	16	images	image	NOUN
aiti-6939	186	17	that	that	PRON
aiti-6939	186	18	belong	belong	VERB
aiti-6939	186	19	to	to	ADP
aiti-6939	186	20	the	the	DET
aiti-6939	186	21	same	same	ADJ
aiti-6939	186	22	image	image	NOUN
aiti-6939	186	23	have	have	VERB
aiti-6939	186	24	similar	similar	ADJ
aiti-6939	186	25	property	property	NOUN
aiti-6939	186	26	,	,	PUNCT
aiti-6939	186	27	thus	thus	ADV
aiti-6939	186	28	they	they	PRON
aiti-6939	186	29	should	should	AUX
aiti-6939	186	30	cluster	cluster	VERB
aiti-6939	186	31	together	together	ADV
aiti-6939	186	32	on	on	ADP
aiti-6939	186	33	the	the	DET
aiti-6939	186	34	feature	feature	NOUN
aiti-6939	186	35	space	space	NOUN
aiti-6939	186	36	.	.	PUNCT
aiti-6939	187	1	this	this	PRON
aiti-6939	187	2	implies	imply	VERB
aiti-6939	187	3	that	that	SCONJ
aiti-6939	187	4	if	if	SCONJ
aiti-6939	187	5	an	an	DET
aiti-6939	187	6	image	image	NOUN
aiti-6939	187	7	belongs	belong	VERB
aiti-6939	187	8	to	to	ADP
aiti-6939	187	9	positive	positive	ADJ
aiti-6939	187	10	category	category	NOUN
aiti-6939	187	11	,	,	PUNCT
aiti-6939	187	12	most	most	ADJ
aiti-6939	187	13	of	of	ADP
aiti-6939	187	14	its	its	PRON
aiti-6939	187	15	sub	sub	NOUN
aiti-6939	187	16	-	-	NOUN
aiti-6939	187	17	images	image	NOUN
aiti-6939	187	18	should	should	AUX
aiti-6939	187	19	be	be	AUX
aiti-6939	187	20	predicted	predict	VERB
aiti-6939	187	21	as	as	ADP
aiti-6939	187	22	positive	positive	ADJ
aiti-6939	187	23	category	category	NOUN
aiti-6939	187	24	.	.	PUNCT
aiti-6939	188	1	in	in	ADP
aiti-6939	188	2	the	the	DET
aiti-6939	188	3	appendix	appendix	NOUN
aiti-6939	188	4	,	,	PUNCT
aiti-6939	188	5	figs	fig	NOUN
aiti-6939	188	6	.	.	PUNCT
aiti-6939	189	1	18	18	NUM
aiti-6939	189	2	-	-	SYM
aiti-6939	189	3	22	22	NUM
aiti-6939	189	4	show	show	VERB
aiti-6939	189	5	the	the	DET
aiti-6939	189	6	majority	majority	NOUN
aiti-6939	189	7	voting	voting	NOUN
aiti-6939	189	8	results	result	NOUN
aiti-6939	189	9	of	of	ADP
aiti-6939	189	10	class	class	NOUN
aiti-6939	189	11	0	0	NUM
aiti-6939	189	12	~	~	PUNCT
aiti-6939	189	13	class	class	NOUN
aiti-6939	189	14	5	5	NUM
aiti-6939	189	15	oolong	oolong	NOUN
aiti-6939	189	16	tea	tea	NOUN
aiti-6939	189	17	test	test	NOUN
aiti-6939	189	18	images	image	NOUN
aiti-6939	189	19	using	use	VERB
aiti-6939	189	20	class	class	NOUN
aiti-6939	189	21	1	1	NUM
aiti-6939	189	22	~	~	PUNCT
aiti-6939	189	23	class	class	NOUN
aiti-6939	189	24	5	5	NUM
aiti-6939	189	25	as	as	ADP
aiti-6939	189	26	positive	positive	ADJ
aiti-6939	189	27	category	category	NOUN
aiti-6939	189	28	models	model	NOUN
aiti-6939	189	29	.	.	PUNCT
aiti-6939	190	1	table	table	NOUN
aiti-6939	190	2	7	7	NUM
aiti-6939	190	3	shows	show	VERB
aiti-6939	190	4	the	the	DET
aiti-6939	190	5	result	result	ADJ
aiti-6939	190	6	comparison	comparison	NOUN
aiti-6939	190	7	between	between	ADP
aiti-6939	190	8	the	the	DET
aiti-6939	190	9	proposed	propose	VERB
aiti-6939	190	10	work	work	NOUN
aiti-6939	190	11	and	and	CCONJ
aiti-6939	190	12	the	the	DET
aiti-6939	190	13	previous	previous	ADJ
aiti-6939	190	14	work	work	NOUN
aiti-6939	190	15	.	.	PUNCT
aiti-6939	191	1	table	table	NOUN
aiti-6939	191	2	8	8	NUM
aiti-6939	191	3	shows	show	VERB
aiti-6939	191	4	other	other	ADJ
aiti-6939	191	5	model	model	NOUN
aiti-6939	191	6	’s	’s	PART
aiti-6939	191	7	performance	performance	NOUN
aiti-6939	191	8	using	use	VERB
aiti-6939	191	9	class	class	NOUN
aiti-6939	191	10	0	0	PUNCT
aiti-6939	191	11	as	as	ADP
aiti-6939	191	12	positive	positive	ADJ
aiti-6939	191	13	category	category	NOUN
aiti-6939	191	14	.	.	PUNCT
aiti-6939	192	1	table	table	NOUN
aiti-6939	192	2	6	6	NUM
aiti-6939	192	3	classification	classification	NOUN
aiti-6939	192	4	accuracy	accuracy	NOUN
aiti-6939	192	5	of	of	ADP
aiti-6939	192	6	testing	testing	NOUN
aiti-6939	192	7	data	datum	NOUN
aiti-6939	192	8	using	use	VERB
aiti-6939	192	9	the	the	DET
aiti-6939	192	10	proposed	propose	VERB
aiti-6939	192	11	approach	approach	NOUN
aiti-6939	192	12	and	and	CCONJ
aiti-6939	192	13	other	other	ADJ
aiti-6939	192	14	publications	publication	NOUN
aiti-6939	192	15	’	'	PUNCT
aiti-6939	192	16	results	result	NOUN
aiti-6939	192	17	pre	pre	ADJ
aiti-6939	192	18	-	-	ADJ
aiti-6939	192	19	trained	train	VERB
aiti-6939	192	20	inceptionv3	inceptionv3	NOUN
aiti-6939	192	21	models	model	NOUN
aiti-6939	192	22	accuracy	accuracy	NOUN
aiti-6939	192	23	of	of	ADP
aiti-6939	192	24	testing	testing	NOUN
aiti-6939	192	25	data	datum	NOUN
aiti-6939	192	26	class	class	NOUN
aiti-6939	192	27	0	0	PUNCT
aiti-6939	192	28	as	as	ADP
aiti-6939	192	29	positive	positive	ADJ
aiti-6939	192	30	category	category	NOUN
aiti-6939	192	31	100.00	100.00	NUM
aiti-6939	192	32	%	%	NOUN
aiti-6939	192	33	class	class	NOUN
aiti-6939	192	34	1	1	NUM
aiti-6939	192	35	as	as	ADP
aiti-6939	192	36	positive	positive	ADJ
aiti-6939	192	37	category	category	NOUN
aiti-6939	192	38	97.22	97.22	NUM
aiti-6939	192	39	%	%	NOUN
aiti-6939	192	40	class	class	NOUN
aiti-6939	192	41	2	2	NUM
aiti-6939	192	42	as	as	ADP
aiti-6939	192	43	positive	positive	ADJ
aiti-6939	192	44	category	category	NOUN
aiti-6939	192	45	100.00	100.00	NUM
aiti-6939	192	46	%	%	NOUN
aiti-6939	192	47	class	class	NOUN
aiti-6939	192	48	3	3	NUM
aiti-6939	192	49	as	as	ADP
aiti-6939	192	50	positive	positive	ADJ
aiti-6939	192	51	category	category	NOUN
aiti-6939	192	52	100.00	100.00	NUM
aiti-6939	192	53	%	%	NOUN
aiti-6939	192	54	class	class	NOUN
aiti-6939	192	55	4	4	NUM
aiti-6939	192	56	as	as	ADP
aiti-6939	192	57	positive	positive	ADJ
aiti-6939	192	58	category	category	NOUN
aiti-6939	192	59	100.00	100.00	NUM
aiti-6939	192	60	%	%	NOUN
aiti-6939	192	61	class	class	NOUN
aiti-6939	192	62	5	5	NUM
aiti-6939	192	63	as	as	ADP
aiti-6939	192	64	positive	positive	ADJ
aiti-6939	192	65	category	category	NOUN
aiti-6939	192	66	100.00	100.00	NUM
aiti-6939	192	67	%	%	NOUN
aiti-6939	192	68	(	(	PUNCT
aiti-6939	192	69	a	a	NOUN
aiti-6939	192	70	)	)	PUNCT
aiti-6939	192	71	class	class	NOUN
aiti-6939	192	72	0	0	NUM
aiti-6939	193	1	(	(	PUNCT
aiti-6939	193	2	b	b	NOUN
aiti-6939	193	3	)	)	PUNCT
aiti-6939	193	4	class	class	NOUN
aiti-6939	193	5	1	1	NUM
aiti-6939	193	6	(	(	PUNCT
aiti-6939	193	7	c	c	NOUN
aiti-6939	193	8	)	)	PUNCT
aiti-6939	193	9	class	class	NOUN
aiti-6939	193	10	2	2	NUM
aiti-6939	193	11	(	(	PUNCT
aiti-6939	193	12	d	d	NOUN
aiti-6939	193	13	)	)	PUNCT
aiti-6939	193	14	class3	class3	NOUN
aiti-6939	193	15	(	(	PUNCT
aiti-6939	193	16	e	e	NOUN
aiti-6939	193	17	)	)	PUNCT
aiti-6939	193	18	class	class	NOUN
aiti-6939	193	19	4	4	NUM
aiti-6939	193	20	(	(	PUNCT
aiti-6939	193	21	f	f	X
aiti-6939	193	22	)	)	PUNCT
aiti-6939	193	23	class	class	NOUN
aiti-6939	193	24	5	5	NUM
aiti-6939	193	25	fig	fig	NOUN
aiti-6939	193	26	.	.	PUNCT
aiti-6939	194	1	17	17	NUM
aiti-6939	194	2	the	the	DET
aiti-6939	194	3	sub	sub	ADJ
aiti-6939	194	4	-	-	ADJ
aiti-6939	194	5	images	image	NOUN
aiti-6939	194	6	prediction	prediction	NOUN
aiti-6939	194	7	percentage	percentage	NOUN
aiti-6939	194	8	results	result	NOUN
aiti-6939	194	9	of	of	ADP
aiti-6939	194	10	class	class	NOUN
aiti-6939	194	11	0	0	NUM
aiti-6939	194	12	~	~	PUNCT
aiti-6939	194	13	class	class	NOUN
aiti-6939	194	14	5	5	NUM
aiti-6939	194	15	oolong	oolong	NOUN
aiti-6939	194	16	tea	tea	NOUN
aiti-6939	194	17	test	test	NOUN
aiti-6939	194	18	images	image	NOUN
aiti-6939	194	19	using	use	VERB
aiti-6939	194	20	“	"	PUNCT
aiti-6939	194	21	class	class	NOUN
aiti-6939	194	22	0	0	NUM
aiti-6939	194	23	as	as	ADP
aiti-6939	194	24	positive	positive	ADJ
aiti-6939	194	25	category	category	NOUN
aiti-6939	194	26	”	"	PUNCT
aiti-6939	194	27	model	model	NOUN
aiti-6939	194	28	208	208	NUM
aiti-6939	194	29	advances	advance	NOUN
aiti-6939	194	30	in	in	ADP
aiti-6939	194	31	technology	technology	NOUN
aiti-6939	194	32	innovation	innovation	NOUN
aiti-6939	194	33	,	,	PUNCT
aiti-6939	194	34	vol	vol	NOUN
aiti-6939	194	35	.	.	PROPN
aiti-6939	194	36	6	6	NUM
aiti-6939	194	37	,	,	PUNCT
aiti-6939	194	38	no	no	INTJ
aiti-6939	194	39	.	.	NOUN
aiti-6939	194	40	4	4	NUM
aiti-6939	194	41	,	,	PUNCT
aiti-6939	194	42	2021	2021	NUM
aiti-6939	194	43	,	,	PUNCT
aiti-6939	194	44	pp	pp	ADJ
aiti-6939	194	45	.	.	PUNCT
aiti-6939	195	1	199	199	NUM
aiti-6939	195	2	-	-	SYM
aiti-6939	195	3	212	212	NUM
aiti-6939	195	4	table	table	NOUN
aiti-6939	195	5	7	7	NUM
aiti-6939	195	6	the	the	DET
aiti-6939	195	7	comparison	comparison	NOUN
aiti-6939	195	8	between	between	ADP
aiti-6939	195	9	the	the	DET
aiti-6939	195	10	proposed	propose	VERB
aiti-6939	195	11	work	work	NOUN
aiti-6939	195	12	and	and	CCONJ
aiti-6939	195	13	the	the	DET
aiti-6939	195	14	previous	previous	ADJ
aiti-6939	195	15	work	work	NOUN
aiti-6939	195	16	ref	ref	NOUN
aiti-6939	195	17	.	.	PUNCT
aiti-6939	196	1	models	model	VERB
aiti-6939	196	2	tea	tea	NOUN
aiti-6939	196	3	types	type	NOUN
aiti-6939	196	4	total	total	ADJ
aiti-6939	196	5	sample	sample	NOUN
aiti-6939	196	6	number	number	NOUN
aiti-6939	196	7	average	average	ADJ
aiti-6939	196	8	accuracy	accuracy	NOUN
aiti-6939	196	9	this	this	DET
aiti-6939	196	10	work	work	NOUN
aiti-6939	196	11	pre	pre	ADJ
aiti-6939	196	12	-	-	ADJ
aiti-6939	196	13	trained	train	VERB
aiti-6939	196	14	inceptionv3	inceptionv3	NOUN
aiti-6939	196	15	model	model	NOUN
aiti-6939	197	1	+	+	CCONJ
aiti-6939	197	2	xgboost	xgboost	X
aiti-6939	197	3	+	+	CCONJ
aiti-6939	197	4	majority	majority	NOUN
aiti-6939	197	5	voting	vote	VERB
aiti-6939	197	6	6	6	NUM
aiti-6939	197	7	high	high	ADJ
aiti-6939	197	8	-	-	PUNCT
aiti-6939	197	9	mountain	mountain	NOUN
aiti-6939	197	10	oolong	oolong	NOUN
aiti-6939	197	11	tea	tea	NOUN
aiti-6939	197	12	classes	class	NOUN
aiti-6939	197	13	(	(	PUNCT
aiti-6939	197	14	among	among	ADP
aiti-6939	197	15	them	they	PRON
aiti-6939	197	16	,	,	PUNCT
aiti-6939	197	17	5	5	NUM
aiti-6939	197	18	classes	class	NOUN
aiti-6939	197	19	belong	belong	VERB
aiti-6939	197	20	to	to	ADP
aiti-6939	197	21	the	the	DET
aiti-6939	197	22	same	same	ADJ
aiti-6939	197	23	tea	tea	NOUN
aiti-6939	197	24	variety	variety	NOUN
aiti-6939	197	25	.	.	PUNCT
aiti-6939	197	26	)	)	PUNCT
aiti-6939	198	1	360	360	NUM
aiti-6939	198	2	images	image	NOUN
aiti-6939	198	3	99.54	99.54	NUM
aiti-6939	198	4	%	%	NOUN
aiti-6939	198	5	[	[	X
aiti-6939	198	6	4	4	NUM
aiti-6939	198	7	]	]	SYM
aiti-6939	198	8	12	12	NUM
aiti-6939	198	9	-	-	PUNCT
aiti-6939	198	10	layer	layer	NOUN
aiti-6939	198	11	convolutional	convolutional	ADJ
aiti-6939	198	12	neural	neural	ADJ
aiti-6939	198	13	network	network	NOUN
aiti-6939	198	14	3	3	NUM
aiti-6939	198	15	tea	tea	NOUN
aiti-6939	198	16	classes	class	NOUN
aiti-6939	198	17	including	include	VERB
aiti-6939	198	18	green	green	ADJ
aiti-6939	198	19	tea	tea	NOUN
aiti-6939	198	20	,	,	PUNCT
aiti-6939	198	21	oolong	oolong	NOUN
aiti-6939	198	22	tea	tea	NOUN
aiti-6939	198	23	,	,	PUNCT
aiti-6939	198	24	and	and	CCONJ
aiti-6939	198	25	black	black	ADJ
aiti-6939	198	26	tea	tea	NOUN
aiti-6939	198	27	900	900	NUM
aiti-6939	198	28	images	image	NOUN
aiti-6939	198	29	98.33	98.33	NUM
aiti-6939	198	30	%	%	NOUN
aiti-6939	198	31	[	[	X
aiti-6939	198	32	5	5	NUM
aiti-6939	198	33	]	]	PUNCT
aiti-6939	198	34	histogram	histogram	NOUN
aiti-6939	198	35	equalization	equalization	NOUN
aiti-6939	198	36	+	+	CCONJ
aiti-6939	198	37	gray	gray	ADJ
aiti-6939	198	38	-	-	PUNCT
aiti-6939	198	39	level	level	NOUN
aiti-6939	198	40	co	co	NOUN
aiti-6939	198	41	-	-	NOUN
aiti-6939	198	42	occurrence	occurrence	ADJ
aiti-6939	198	43	matrix	matrix	NOUN
aiti-6939	198	44	+	+	CCONJ
aiti-6939	198	45	support	support	NOUN
aiti-6939	198	46	vector	vector	NOUN
aiti-6939	198	47	machine	machine	NOUN
aiti-6939	198	48	(	(	PUNCT
aiti-6939	198	49	svm	svm	PROPN
aiti-6939	198	50	)	)	PUNCT
aiti-6939	198	51	10	10	NUM
aiti-6939	198	52	tea	tea	NOUN
aiti-6939	198	53	classes	class	NOUN
aiti-6939	198	54	from	from	ADP
aiti-6939	198	55	different	different	ADJ
aiti-6939	198	56	brands	brand	NOUN
aiti-6939	198	57	and	and	CCONJ
aiti-6939	198	58	origins	origin	NOUN
aiti-6939	198	59	,	,	PUNCT
aiti-6939	198	60	including	include	VERB
aiti-6939	198	61	1	1	NUM
aiti-6939	198	62	white	white	ADJ
aiti-6939	198	63	tea	tea	NOUN
aiti-6939	198	64	,	,	PUNCT
aiti-6939	198	65	2	2	NUM
aiti-6939	198	66	different	different	ADJ
aiti-6939	198	67	kinds	kind	NOUN
aiti-6939	198	68	of	of	ADP
aiti-6939	198	69	flowering	flower	VERB
aiti-6939	198	70	tea	tea	NOUN
aiti-6939	198	71	,	,	PUNCT
aiti-6939	198	72	2	2	NUM
aiti-6939	198	73	different	different	ADJ
aiti-6939	198	74	kinds	kind	NOUN
aiti-6939	198	75	of	of	ADP
aiti-6939	198	76	green	green	ADJ
aiti-6939	198	77	tea	tea	NOUN
aiti-6939	198	78	,	,	PUNCT
aiti-6939	198	79	1	1	NUM
aiti-6939	198	80	oolong	oolong	NOUN
aiti-6939	198	81	tea	tea	NOUN
aiti-6939	198	82	,	,	PUNCT
aiti-6939	198	83	and	and	CCONJ
aiti-6939	198	84	4	4	NUM
aiti-6939	198	85	different	different	ADJ
aiti-6939	198	86	varieties	variety	NOUN
aiti-6939	198	87	of	of	ADP
aiti-6939	198	88	black	black	ADJ
aiti-6939	198	89	tea	tea	NOUN
aiti-6939	198	90	3000	3000	NUM
aiti-6939	198	91	images	image	NOUN
aiti-6939	198	92	94.64	94.64	NUM
aiti-6939	198	93	%	%	NOUN
aiti-6939	198	94	[	[	X
aiti-6939	198	95	15	15	NUM
aiti-6939	198	96	]	]	X
aiti-6939	198	97	principal	principal	ADJ
aiti-6939	198	98	component	component	NOUN
aiti-6939	198	99	analysis	analysis	NOUN
aiti-6939	198	100	+	+	CCONJ
aiti-6939	198	101	linear	linear	ADJ
aiti-6939	198	102	discriminant	discriminant	ADJ
aiti-6939	198	103	analysis	analysis	NOUN
aiti-6939	198	104	5	5	NUM
aiti-6939	198	105	green	green	ADJ
aiti-6939	198	106	tea	tea	NOUN
aiti-6939	198	107	classes	class	NOUN
aiti-6939	198	108	from	from	ADP
aiti-6939	198	109	different	different	ADJ
aiti-6939	198	110	varieties	variety	NOUN
aiti-6939	198	111	,	,	PUNCT
aiti-6939	198	112	brands	brand	NOUN
aiti-6939	198	113	,	,	PUNCT
aiti-6939	198	114	and	and	CCONJ
aiti-6939	198	115	origins	origin	NOUN
aiti-6939	198	116	120	120	NUM
aiti-6939	198	117	images	image	NOUN
aiti-6939	198	118	98.33	98.33	NUM
aiti-6939	198	119	%	%	NOUN
aiti-6939	198	120	[	[	X
aiti-6939	198	121	16	16	NUM
aiti-6939	198	122	]	]	X
aiti-6939	198	123	fuzzy	fuzzy	ADJ
aiti-6939	198	124	svm	svm	NOUN
aiti-6939	198	125	+	+	CCONJ
aiti-6939	198	126	winner	winner	NOUN
aiti-6939	198	127	-	-	PUNCT
aiti-6939	198	128	take	take	VERB
aiti-6939	198	129	-	-	PUNCT
aiti-6939	198	130	all	all	PRON
aiti-6939	198	131	method	method	NOUN
aiti-6939	198	132	3	3	NUM
aiti-6939	198	133	tea	tea	NOUN
aiti-6939	198	134	classes	class	NOUN
aiti-6939	198	135	including	include	VERB
aiti-6939	198	136	green	green	ADJ
aiti-6939	198	137	tea	tea	NOUN
aiti-6939	198	138	,	,	PUNCT
aiti-6939	198	139	oolong	oolong	NOUN
aiti-6939	198	140	tea	tea	NOUN
aiti-6939	198	141	,	,	PUNCT
aiti-6939	198	142	and	and	CCONJ
aiti-6939	198	143	black	black	ADJ
aiti-6939	198	144	tea	tea	NOUN
aiti-6939	198	145	300	300	NUM
aiti-6939	198	146	images	image	NOUN
aiti-6939	198	147	97.77	97.77	NUM
aiti-6939	198	148	%	%	NOUN
aiti-6939	198	149	table	table	NOUN
aiti-6939	198	150	8	8	NUM
aiti-6939	198	151	classification	classification	NOUN
aiti-6939	198	152	accuracy	accuracy	NOUN
aiti-6939	198	153	of	of	ADP
aiti-6939	198	154	testing	testing	NOUN
aiti-6939	198	155	data	datum	NOUN
aiti-6939	198	156	using	use	VERB
aiti-6939	198	157	the	the	DET
aiti-6939	198	158	proposed	propose	VERB
aiti-6939	198	159	approach	approach	NOUN
aiti-6939	198	160	pre	pre	ADJ
aiti-6939	198	161	-	-	VERB
aiti-6939	198	162	trained	train	VERB
aiti-6939	198	163	models	model	NOUN
aiti-6939	198	164	accuracy	accuracy	NOUN
aiti-6939	198	165	of	of	ADP
aiti-6939	198	166	testing	testing	NOUN
aiti-6939	198	167	data	datum	NOUN
aiti-6939	198	168	(	(	PUNCT
aiti-6939	198	169	class	class	NOUN
aiti-6939	198	170	0	0	NUM
aiti-6939	198	171	as	as	ADP
aiti-6939	198	172	positive	positive	ADJ
aiti-6939	198	173	category	category	NOUN
aiti-6939	198	174	)	)	PUNCT
aiti-6939	198	175	vgg16	vgg16	VERB
aiti-6939	198	176	100.00	100.00	NUM
aiti-6939	198	177	%	%	NOUN
aiti-6939	198	178	xception	xception	NOUN
aiti-6939	198	179	100.00	100.00	NUM
aiti-6939	198	180	%	%	NOUN
aiti-6939	198	181	inceptionresnetv2	inceptionresnetv2	NOUN
aiti-6939	198	182	100.00	100.00	NUM
aiti-6939	198	183	%	%	NOUN
aiti-6939	198	184	9	9	NUM
aiti-6939	198	185	.	.	PUNCT
aiti-6939	199	1	conclusions	conclusion	NOUN
aiti-6939	199	2	this	this	DET
aiti-6939	199	3	study	study	NOUN
aiti-6939	199	4	proposed	propose	VERB
aiti-6939	199	5	an	an	DET
aiti-6939	199	6	image	image	NOUN
aiti-6939	199	7	verification	verification	NOUN
aiti-6939	199	8	approach	approach	NOUN
aiti-6939	199	9	to	to	PART
aiti-6939	199	10	improve	improve	VERB
aiti-6939	199	11	deep	deep	ADJ
aiti-6939	199	12	learning	learning	NOUN
aiti-6939	199	13	model	model	NOUN
aiti-6939	199	14	’s	’s	PART
aiti-6939	199	15	performance	performance	NOUN
aiti-6939	199	16	.	.	PUNCT
aiti-6939	200	1	the	the	DET
aiti-6939	200	2	result	result	NOUN
aiti-6939	200	3	outperforms	outperform	VERB
aiti-6939	200	4	normal	normal	ADJ
aiti-6939	200	5	transfer	transfer	NOUN
aiti-6939	200	6	learning	learn	VERB
aiti-6939	200	7	training	training	NOUN
aiti-6939	200	8	approach	approach	NOUN
aiti-6939	200	9	in	in	ADP
aiti-6939	200	10	the	the	DET
aiti-6939	200	11	challenging	challenging	ADJ
aiti-6939	200	12	tea	tea	NOUN
aiti-6939	200	13	dataset	dataset	NOUN
aiti-6939	200	14	.	.	PUNCT
aiti-6939	201	1	future	future	ADJ
aiti-6939	201	2	studies	study	NOUN
aiti-6939	201	3	can	can	AUX
aiti-6939	201	4	explore	explore	VERB
aiti-6939	201	5	feature	feature	NOUN
aiti-6939	201	6	engineering	engineering	NOUN
aiti-6939	201	7	methods	method	NOUN
aiti-6939	201	8	to	to	PART
aiti-6939	201	9	extract	extract	VERB
aiti-6939	201	10	tea	tea	NOUN
aiti-6939	201	11	image	image	NOUN
aiti-6939	201	12	’s	’s	PART
aiti-6939	201	13	feature	feature	NOUN
aiti-6939	201	14	properties	property	NOUN
aiti-6939	201	15	and	and	CCONJ
aiti-6939	201	16	complement	complement	VERB
aiti-6939	201	17	the	the	DET
aiti-6939	201	18	lack	lack	NOUN
aiti-6939	201	19	of	of	ADP
aiti-6939	201	20	interpretability	interpretability	NOUN
aiti-6939	201	21	of	of	ADP
aiti-6939	201	22	deep	deep	ADJ
aiti-6939	201	23	learning	learning	NOUN
aiti-6939	201	24	model	model	NOUN
aiti-6939	201	25	.	.	PUNCT
aiti-6939	202	1	in	in	ADP
aiti-6939	202	2	addition	addition	NOUN
aiti-6939	202	3	,	,	PUNCT
aiti-6939	202	4	the	the	DET
aiti-6939	202	5	proposed	propose	VERB
aiti-6939	202	6	approach	approach	NOUN
aiti-6939	202	7	may	may	AUX
aiti-6939	202	8	have	have	VERB
aiti-6939	202	9	broader	broad	ADJ
aiti-6939	202	10	application	application	NOUN
aiti-6939	202	11	to	to	ADP
aiti-6939	202	12	other	other	ADJ
aiti-6939	202	13	crop	crop	NOUN
aiti-6939	202	14	types	type	NOUN
aiti-6939	202	15	,	,	PUNCT
aiti-6939	202	16	such	such	ADJ
aiti-6939	202	17	as	as	ADP
aiti-6939	202	18	rice	rice	NOUN
aiti-6939	202	19	,	,	PUNCT
aiti-6939	202	20	coffee	coffee	NOUN
aiti-6939	202	21	bean	bean	NOUN
aiti-6939	202	22	,	,	PUNCT
aiti-6939	202	23	wheat	wheat	NOUN
aiti-6939	202	24	seed	seed	NOUN
aiti-6939	202	25	,	,	PUNCT
aiti-6939	202	26	etc	etc	X
aiti-6939	202	27	.	.	X
aiti-6939	202	28	,	,	PUNCT
aiti-6939	202	29	which	which	PRON
aiti-6939	202	30	seem	seem	VERB
aiti-6939	202	31	to	to	PART
aiti-6939	202	32	have	have	VERB
aiti-6939	202	33	similar	similar	ADJ
aiti-6939	202	34	distributed	distribute	VERB
aiti-6939	202	35	objects	object	NOUN
aiti-6939	202	36	’	'	PUNCT
aiti-6939	202	37	feature	feature	NOUN
aiti-6939	202	38	with	with	ADP
aiti-6939	202	39	tea	tea	NOUN
aiti-6939	202	40	images	image	NOUN
aiti-6939	202	41	.	.	PUNCT
aiti-6939	203	1	acknowledgments	acknowledgment	NOUN
aiti-6939	203	2	this	this	DET
aiti-6939	203	3	research	research	NOUN
aiti-6939	203	4	is	be	AUX
aiti-6939	203	5	partially	partially	ADV
aiti-6939	203	6	supported	support	VERB
aiti-6939	203	7	by	by	ADP
aiti-6939	203	8	the	the	DET
aiti-6939	203	9	ministry	ministry	PROPN
aiti-6939	203	10	of	of	ADP
aiti-6939	203	11	science	science	NOUN
aiti-6939	203	12	and	and	CCONJ
aiti-6939	203	13	technology	technology	NOUN
aiti-6939	203	14	through	through	ADP
aiti-6939	203	15	both	both	CCONJ
aiti-6939	203	16	the	the	DET
aiti-6939	203	17	center	center	NOUN
aiti-6939	203	18	of	of	ADP
aiti-6939	203	19	precision	precision	NOUN
aiti-6939	203	20	medicine	medicine	NOUN
aiti-6939	203	21	research	research	NOUN
aiti-6939	203	22	and	and	CCONJ
aiti-6939	203	23	artificial	artificial	ADJ
aiti-6939	203	24	intelligence	intelligence	NOUN
aiti-6939	203	25	research	research	NOUN
aiti-6939	203	26	center	center	NOUN
aiti-6939	203	27	of	of	ADP
aiti-6939	203	28	asia	asia	PROPN
aiti-6939	203	29	university	university	PROPN
aiti-6939	203	30	taiwan	taiwan	PROPN
aiti-6939	203	31	under	under	ADP
aiti-6939	203	32	the	the	DET
aiti-6939	203	33	grants	grant	NOUN
aiti-6939	203	34	ski	ski	VERB
aiti-6939	203	35	most	most	ADJ
aiti-6939	203	36	110	110	NUM
aiti-6939	203	37	-	-	SYM
aiti-6939	203	38	2321	2321	NUM
aiti-6939	203	39	-	-	PUNCT
aiti-6939	203	40	b-468	b-468	NOUN
aiti-6939	203	41	-	-	PUNCT
aiti-6939	203	42	001	001	NOUN
aiti-6939	203	43	,	,	PUNCT
aiti-6939	203	44	most	most	ADJ
aiti-6939	203	45	110	110	NUM
aiti-6939	203	46	-	-	SYM
aiti-6939	203	47	2321	2321	NUM
aiti-6939	203	48	-	-	PUNCT
aiti-6939	203	49	b-468	b-468	NOUN
aiti-6939	203	50	-	-	PUNCT
aiti-6939	203	51	001	001	NOUN
aiti-6939	203	52	,	,	PUNCT
aiti-6939	203	53	and	and	CCONJ
aiti-6939	203	54	108	108	NUM
aiti-6939	203	55	-	-	SYM
aiti-6939	203	56	2511	2511	NUM
aiti-6939	203	57	-	-	PUNCT
aiti-6939	203	58	h-468	h-468	NOUN
aiti-6939	203	59	-	-	PUNCT
aiti-6939	203	60	001	001	NUM
aiti-6939	203	61	-	-	PUNCT
aiti-6939	203	62	my3	my3	NOUN
aiti-6939	203	63	.	.	PUNCT
aiti-6939	204	1	conflicts	conflict	NOUN
aiti-6939	204	2	of	of	ADP
aiti-6939	204	3	interest	interest	NOUN
aiti-6939	204	4	the	the	DET
aiti-6939	204	5	authors	author	NOUN
aiti-6939	204	6	declare	declare	VERB
aiti-6939	204	7	no	no	DET
aiti-6939	204	8	conflict	conflict	NOUN
aiti-6939	204	9	of	of	ADP
aiti-6939	204	10	interest	interest	NOUN
aiti-6939	204	11	.	.	PUNCT
aiti-6939	205	1	references	reference	NOUN
aiti-6939	205	2	[	[	X
aiti-6939	205	3	1	1	NUM
aiti-6939	205	4	]	]	PUNCT
aiti-6939	205	5	v.	v.	CCONJ
aiti-6939	205	6	voora	voora	PROPN
aiti-6939	205	7	,	,	PUNCT
aiti-6939	205	8	s.	s.	PROPN
aiti-6939	205	9	bermúdez	bermúdez	PROPN
aiti-6939	205	10	,	,	PUNCT
aiti-6939	205	11	and	and	CCONJ
aiti-6939	205	12	c.	c.	PROPN
aiti-6939	205	13	larrea	larrea	PROPN
aiti-6939	205	14	,	,	PUNCT
aiti-6939	205	15	“	"	PUNCT
aiti-6939	205	16	global	global	ADJ
aiti-6939	205	17	market	market	NOUN
aiti-6939	205	18	report	report	NOUN
aiti-6939	205	19	:	:	PUNCT
aiti-6939	205	20	tea	tea	NOUN
aiti-6939	205	21	,	,	PUNCT
aiti-6939	205	22	”	"	PUNCT
aiti-6939	205	23	https://www.iisd.org/publications/global-market-report-tea	https://www.iisd.org/publications/global-market-report-tea	INTJ
aiti-6939	205	24	,	,	PUNCT
aiti-6939	205	25	december	december	PROPN
aiti-6939	205	26	16	16	NUM
aiti-6939	205	27	,	,	PUNCT
aiti-6939	205	28	2019	2019	NUM
aiti-6939	205	29	.	.	PUNCT
aiti-6939	206	1	[	[	X
aiti-6939	206	2	2	2	X
aiti-6939	206	3	]	]	X
aiti-6939	206	4	w.	w.	PROPN
aiti-6939	206	5	pongsuwan	pongsuwan	PROPN
aiti-6939	206	6	,	,	PUNCT
aiti-6939	206	7	e.	e.	PROPN
aiti-6939	206	8	fukusaki	fukusaki	PROPN
aiti-6939	206	9	,	,	PUNCT
aiti-6939	206	10	t.	t.	PROPN
aiti-6939	206	11	bamba	bamba	NOUN
aiti-6939	206	12	,	,	PUNCT
aiti-6939	206	13	t.	t.	NOUN
aiti-6939	206	14	yonetani	yonetani	PROPN
aiti-6939	206	15	,	,	PUNCT
aiti-6939	206	16	t.	t.	NOUN
aiti-6939	206	17	yamahara	yamahara	NOUN
aiti-6939	206	18	,	,	PUNCT
aiti-6939	206	19	and	and	CCONJ
aiti-6939	206	20	a.	a.	PROPN
aiti-6939	206	21	kobayashi	kobayashi	PROPN
aiti-6939	206	22	,	,	PUNCT
aiti-6939	206	23	“	"	PUNCT
aiti-6939	206	24	prediction	prediction	NOUN
aiti-6939	206	25	of	of	ADP
aiti-6939	206	26	japanese	japanese	ADJ
aiti-6939	206	27	green	green	ADJ
aiti-6939	206	28	tea	tea	NOUN
aiti-6939	206	29	ranking	ranking	NOUN
aiti-6939	206	30	by	by	ADP
aiti-6939	206	31	gas	gas	NOUN
aiti-6939	206	32	chromatography	chromatography	NOUN
aiti-6939	206	33	/	/	SYM
aiti-6939	206	34	mass	mass	NOUN
aiti-6939	206	35	spectrometry	spectrometry	NOUN
aiti-6939	206	36	-	-	PUNCT
aiti-6939	206	37	based	base	VERB
aiti-6939	206	38	hydrophilic	hydrophilic	ADJ
aiti-6939	206	39	metabolite	metabolite	NOUN
aiti-6939	206	40	fingerprinting	fingerprinting	NOUN
aiti-6939	206	41	,	,	PUNCT
aiti-6939	206	42	”	"	PUNCT
aiti-6939	206	43	journal	journal	NOUN
aiti-6939	206	44	of	of	ADP
aiti-6939	206	45	agricultural	agricultural	ADJ
aiti-6939	206	46	and	and	CCONJ
aiti-6939	206	47	food	food	NOUN
aiti-6939	206	48	chemistry	chemistry	NOUN
aiti-6939	206	49	,	,	PUNCT
aiti-6939	206	50	vol	vol	NOUN
aiti-6939	206	51	.	.	PROPN
aiti-6939	207	1	55	55	NUM
aiti-6939	207	2	,	,	PUNCT
aiti-6939	207	3	no	no	INTJ
aiti-6939	207	4	.	.	NOUN
aiti-6939	207	5	2	2	NUM
aiti-6939	207	6	,	,	PUNCT
aiti-6939	207	7	pp	pp	ADJ
aiti-6939	207	8	.	.	PUNCT
aiti-6939	208	1	231	231	NUM
aiti-6939	208	2	-	-	SYM
aiti-6939	208	3	236	236	NUM
aiti-6939	208	4	,	,	PUNCT
aiti-6939	208	5	january	january	PROPN
aiti-6939	208	6	2007	2007	NUM
aiti-6939	208	7	.	.	PUNCT
aiti-6939	209	1	[	[	X
aiti-6939	209	2	3	3	X
aiti-6939	209	3	]	]	X
aiti-6939	209	4	w.	w.	PROPN
aiti-6939	209	5	shao	shao	PROPN
aiti-6939	209	6	,	,	PUNCT
aiti-6939	209	7	c.	c.	PROPN
aiti-6939	209	8	powell	powell	PROPN
aiti-6939	209	9	,	,	PUNCT
aiti-6939	209	10	and	and	CCONJ
aiti-6939	209	11	m.	m.	PROPN
aiti-6939	209	12	n.	n.	PROPN
aiti-6939	209	13	clifford	clifford	PROPN
aiti-6939	209	14	,	,	PUNCT
aiti-6939	209	15	“	"	PUNCT
aiti-6939	209	16	the	the	DET
aiti-6939	209	17	analysis	analysis	NOUN
aiti-6939	209	18	by	by	ADP
aiti-6939	209	19	hplc	hplc	NOUN
aiti-6939	209	20	of	of	ADP
aiti-6939	209	21	green	green	ADJ
aiti-6939	209	22	,	,	PUNCT
aiti-6939	209	23	black	black	ADJ
aiti-6939	209	24	and	and	CCONJ
aiti-6939	209	25	pu’er	pu’er	NOUN
aiti-6939	209	26	teas	tea	NOUN
aiti-6939	209	27	produced	produce	VERB
aiti-6939	209	28	in	in	ADP
aiti-6939	209	29	yunnan	yunnan	NOUN
aiti-6939	209	30	,	,	PUNCT
aiti-6939	209	31	”	"	PUNCT
aiti-6939	209	32	journal	journal	NOUN
aiti-6939	209	33	of	of	ADP
aiti-6939	209	34	the	the	DET
aiti-6939	209	35	science	science	NOUN
aiti-6939	209	36	of	of	ADP
aiti-6939	209	37	food	food	NOUN
aiti-6939	209	38	and	and	CCONJ
aiti-6939	209	39	agriculture	agriculture	NOUN
aiti-6939	209	40	,	,	PUNCT
aiti-6939	209	41	vol	vol	NOUN
aiti-6939	209	42	.	.	PROPN
aiti-6939	210	1	69	69	NUM
aiti-6939	210	2	,	,	PUNCT
aiti-6939	210	3	no	no	INTJ
aiti-6939	210	4	.	.	NOUN
aiti-6939	210	5	4	4	NUM
aiti-6939	210	6	,	,	PUNCT
aiti-6939	210	7	pp	pp	ADJ
aiti-6939	210	8	.	.	PUNCT
aiti-6939	211	1	535	535	NUM
aiti-6939	211	2	-	-	SYM
aiti-6939	211	3	540	540	NUM
aiti-6939	211	4	,	,	PUNCT
aiti-6939	211	5	december	december	PROPN
aiti-6939	211	6	1995	1995	NUM
aiti-6939	211	7	.	.	PUNCT
aiti-6939	212	1	[	[	X
aiti-6939	212	2	4	4	X
aiti-6939	212	3	]	]	X
aiti-6939	212	4	y.	y.	PROPN
aiti-6939	212	5	d.	d.	PROPN
aiti-6939	212	6	zhang	zhang	PROPN
aiti-6939	212	7	,	,	PUNCT
aiti-6939	212	8	k.	k.	PROPN
aiti-6939	212	9	muhammad	muhammad	PROPN
aiti-6939	212	10	,	,	PUNCT
aiti-6939	212	11	and	and	CCONJ
aiti-6939	212	12	c.	c.	PROPN
aiti-6939	212	13	tang	tang	PROPN
aiti-6939	212	14	,	,	PUNCT
aiti-6939	212	15	“	"	PUNCT
aiti-6939	212	16	twelve	twelve	NUM
aiti-6939	212	17	-	-	PUNCT
aiti-6939	212	18	layer	layer	NOUN
aiti-6939	212	19	deep	deep	ADJ
aiti-6939	212	20	convolutional	convolutional	ADJ
aiti-6939	212	21	neural	neural	ADJ
aiti-6939	212	22	network	network	NOUN
aiti-6939	212	23	with	with	ADP
aiti-6939	212	24	stochastic	stochastic	ADJ
aiti-6939	212	25	pooling	pooling	NOUN
aiti-6939	212	26	for	for	ADP
aiti-6939	212	27	tea	tea	NOUN
aiti-6939	212	28	category	category	NOUN
aiti-6939	212	29	classification	classification	NOUN
aiti-6939	212	30	on	on	ADP
aiti-6939	212	31	gpu	gpu	NOUN
aiti-6939	212	32	platform	platform	NOUN
aiti-6939	212	33	,	,	PUNCT
aiti-6939	212	34	”	"	PUNCT
aiti-6939	212	35	multimedia	multimedia	NOUN
aiti-6939	212	36	tools	tool	NOUN
aiti-6939	212	37	and	and	CCONJ
aiti-6939	212	38	applications	application	NOUN
aiti-6939	212	39	,	,	PUNCT
aiti-6939	212	40	vol	vol	NOUN
aiti-6939	212	41	.	.	PROPN
aiti-6939	212	42	77	77	NUM
aiti-6939	212	43	,	,	PUNCT
aiti-6939	212	44	no	no	INTJ
aiti-6939	212	45	.	.	NOUN
aiti-6939	212	46	17	17	NUM
aiti-6939	212	47	,	,	PUNCT
aiti-6939	212	48	pp	pp	ADJ
aiti-6939	212	49	.	.	PUNCT
aiti-6939	213	1	22821	22821	NUM
aiti-6939	213	2	-	-	SYM
aiti-6939	213	3	22839	22839	NUM
aiti-6939	213	4	,	,	PUNCT
aiti-6939	213	5	september	september	PROPN
aiti-6939	213	6	2018	2018	NUM
aiti-6939	213	7	.	.	PUNCT
aiti-6939	214	1	[	[	X
aiti-6939	214	2	5	5	X
aiti-6939	214	3	]	]	X
aiti-6939	214	4	y.	y.	PROPN
aiti-6939	214	5	chen	chen	PROPN
aiti-6939	214	6	,	,	PUNCT
aiti-6939	214	7	“	"	PUNCT
aiti-6939	214	8	identification	identification	NOUN
aiti-6939	214	9	of	of	ADP
aiti-6939	214	10	tea	tea	NOUN
aiti-6939	214	11	leaf	leaf	NOUN
aiti-6939	214	12	based	base	VERB
aiti-6939	214	13	on	on	ADP
aiti-6939	214	14	histogram	histogram	NOUN
aiti-6939	214	15	equalization	equalization	NOUN
aiti-6939	214	16	,	,	PUNCT
aiti-6939	214	17	gray	gray	ADJ
aiti-6939	214	18	-	-	PUNCT
aiti-6939	214	19	level	level	NOUN
aiti-6939	214	20	co	co	NOUN
aiti-6939	214	21	-	-	NOUN
aiti-6939	214	22	occurrence	occurrence	ADJ
aiti-6939	214	23	matrix	matrix	NOUN
aiti-6939	214	24	and	and	CCONJ
aiti-6939	214	25	support	support	NOUN
aiti-6939	214	26	vector	vector	NOUN
aiti-6939	214	27	machine	machine	NOUN
aiti-6939	214	28	algorithm	algorithm	NOUN
aiti-6939	214	29	,	,	PUNCT
aiti-6939	214	30	”	"	PUNCT
aiti-6939	214	31	international	international	ADJ
aiti-6939	214	32	conference	conference	NOUN
aiti-6939	214	33	on	on	ADP
aiti-6939	214	34	multimedia	multimedia	NOUN
aiti-6939	214	35	technology	technology	NOUN
aiti-6939	214	36	and	and	CCONJ
aiti-6939	214	37	enhanced	enhanced	ADJ
aiti-6939	214	38	learning	learning	NOUN
aiti-6939	214	39	,	,	PUNCT
aiti-6939	214	40	april	april	PROPN
aiti-6939	214	41	2020	2020	NUM
aiti-6939	214	42	,	,	PUNCT
aiti-6939	214	43	pp	pp	ADV
aiti-6939	214	44	.	.	PUNCT
aiti-6939	215	1	3	3	NUM
aiti-6939	215	2	-	-	SYM
aiti-6939	215	3	16	16	NUM
aiti-6939	215	4	.	.	PUNCT
aiti-6939	216	1	[	[	X
aiti-6939	216	2	6	6	NUM
aiti-6939	216	3	]	]	X
aiti-6939	216	4	y.	y.	PROPN
aiti-6939	216	5	zhang	zhang	PROPN
aiti-6939	216	6	,	,	PUNCT
aiti-6939	216	7	x.	x.	PROPN
aiti-6939	216	8	yang	yang	PROPN
aiti-6939	216	9	,	,	PUNCT
aiti-6939	216	10	c.	c.	PROPN
aiti-6939	216	11	cattani	cattani	PROPN
aiti-6939	216	12	,	,	PUNCT
aiti-6939	216	13	r.	r.	PROPN
aiti-6939	216	14	v.	v.	PROPN
aiti-6939	216	15	rao	rao	PROPN
aiti-6939	216	16	,	,	PUNCT
aiti-6939	216	17	s.	s.	PROPN
aiti-6939	216	18	wang	wang	PROPN
aiti-6939	216	19	,	,	PUNCT
aiti-6939	216	20	and	and	CCONJ
aiti-6939	216	21	p.	p.	PROPN
aiti-6939	216	22	phillips	phillips	PROPN
aiti-6939	216	23	,	,	PUNCT
aiti-6939	216	24	“	"	PUNCT
aiti-6939	216	25	tea	tea	NOUN
aiti-6939	216	26	category	category	NOUN
aiti-6939	216	27	identification	identification	NOUN
aiti-6939	216	28	using	use	VERB
aiti-6939	216	29	a	a	DET
aiti-6939	216	30	novel	novel	ADJ
aiti-6939	216	31	fractional	fractional	ADJ
aiti-6939	216	32	fourier	fourier	NOUN
aiti-6939	216	33	entropy	entropy	NOUN
aiti-6939	216	34	and	and	CCONJ
aiti-6939	216	35	jaya	jaya	PROPN
aiti-6939	216	36	algorithm	algorithm	PROPN
aiti-6939	216	37	,	,	PUNCT
aiti-6939	216	38	”	"	PUNCT
aiti-6939	216	39	entropy	entropy	NOUN
aiti-6939	216	40	,	,	PUNCT
aiti-6939	216	41	vol	vol	NOUN
aiti-6939	216	42	.	.	PROPN
aiti-6939	216	43	18	18	NUM
aiti-6939	216	44	,	,	PUNCT
aiti-6939	216	45	no	no	INTJ
aiti-6939	216	46	.	.	NOUN
aiti-6939	216	47	3	3	NUM
aiti-6939	216	48	,	,	PUNCT
aiti-6939	216	49	77	77	NUM
aiti-6939	216	50	,	,	PUNCT
aiti-6939	216	51	march	march	PROPN
aiti-6939	216	52	2016	2016	NUM
aiti-6939	216	53	.	.	PUNCT
aiti-6939	217	1	209	209	NUM
aiti-6939	217	2	advances	advance	NOUN
aiti-6939	217	3	in	in	ADP
aiti-6939	217	4	technology	technology	NOUN
aiti-6939	217	5	innovation	innovation	NOUN
aiti-6939	217	6	,	,	PUNCT
aiti-6939	217	7	vol	vol	NOUN
aiti-6939	217	8	.	.	PROPN
aiti-6939	217	9	6	6	NUM
aiti-6939	217	10	,	,	PUNCT
aiti-6939	217	11	no	no	INTJ
aiti-6939	217	12	.	.	NOUN
aiti-6939	217	13	4	4	NUM
aiti-6939	217	14	,	,	PUNCT
aiti-6939	217	15	2021	2021	NUM
aiti-6939	217	16	,	,	PUNCT
aiti-6939	217	17	pp	pp	ADJ
aiti-6939	217	18	.	.	PUNCT
aiti-6939	218	1	199	199	NUM
aiti-6939	218	2	-	-	SYM
aiti-6939	218	3	212	212	NUM
aiti-6939	218	4	[	[	X
aiti-6939	218	5	7	7	NUM
aiti-6939	218	6	]	]	PUNCT
aiti-6939	218	7	f.	f.	PROPN
aiti-6939	218	8	chollet	chollet	PROPN
aiti-6939	218	9	,	,	PUNCT
aiti-6939	218	10	“	"	PUNCT
aiti-6939	218	11	xception	xception	NOUN
aiti-6939	218	12	:	:	PUNCT
aiti-6939	218	13	deep	deep	ADJ
aiti-6939	218	14	learning	learn	VERB
aiti-6939	218	15	with	with	ADP
aiti-6939	218	16	depthwise	depthwise	NOUN
aiti-6939	218	17	separable	separable	ADJ
aiti-6939	218	18	convolutions	convolution	NOUN
aiti-6939	218	19	,	,	PUNCT
aiti-6939	218	20	”	"	PUNCT
aiti-6939	218	21	ieee	ieee	NOUN
aiti-6939	218	22	conference	conference	NOUN
aiti-6939	218	23	on	on	ADP
aiti-6939	218	24	computer	computer	NOUN
aiti-6939	218	25	vision	vision	NOUN
aiti-6939	218	26	and	and	CCONJ
aiti-6939	218	27	pattern	pattern	NOUN
aiti-6939	218	28	recognition	recognition	NOUN
aiti-6939	218	29	,	,	PUNCT
aiti-6939	218	30	july	july	PROPN
aiti-6939	218	31	2017	2017	NUM
aiti-6939	218	32	,	,	PUNCT
aiti-6939	218	33	pp	pp	ADJ
aiti-6939	218	34	.	.	PUNCT
aiti-6939	219	1	1251	1251	NUM
aiti-6939	219	2	-	-	SYM
aiti-6939	219	3	1258	1258	NUM
aiti-6939	219	4	.	.	PUNCT
aiti-6939	220	1	[	[	X
aiti-6939	220	2	8	8	NUM
aiti-6939	220	3	]	]	PUNCT
aiti-6939	220	4	k.	k.	NOUN
aiti-6939	220	5	simonyan	simonyan	PROPN
aiti-6939	220	6	and	and	CCONJ
aiti-6939	220	7	a.	a.	NOUN
aiti-6939	220	8	zisserman	zisserman	PROPN
aiti-6939	220	9	,	,	PUNCT
aiti-6939	220	10	“	"	PUNCT
aiti-6939	220	11	very	very	ADV
aiti-6939	220	12	deep	deep	ADJ
aiti-6939	220	13	convolutional	convolutional	ADJ
aiti-6939	220	14	networks	network	NOUN
aiti-6939	220	15	for	for	ADP
aiti-6939	220	16	large	large	ADJ
aiti-6939	220	17	-	-	PUNCT
aiti-6939	220	18	scale	scale	NOUN
aiti-6939	220	19	image	image	NOUN
aiti-6939	220	20	recognition	recognition	NOUN
aiti-6939	220	21	,	,	PUNCT
aiti-6939	220	22	”	"	PUNCT
aiti-6939	220	23	https://arxiv.org/pdf/1409.1556.pdf	https://arxiv.org/pdf/1409.1556.pdf	PROPN
aiti-6939	220	24	,	,	PUNCT
aiti-6939	220	25	april	april	PROPN
aiti-6939	220	26	10	10	NUM
aiti-6939	220	27	,	,	PUNCT
aiti-6939	220	28	2015	2015	NUM
aiti-6939	220	29	.	.	PUNCT
aiti-6939	221	1	[	[	X
aiti-6939	221	2	9	9	NUM
aiti-6939	221	3	]	]	X
aiti-6939	221	4	c.	c.	NOUN
aiti-6939	221	5	szegedy	szegedy	PROPN
aiti-6939	221	6	,	,	PUNCT
aiti-6939	221	7	v.	v.	PROPN
aiti-6939	221	8	vanhoucke	vanhoucke	PROPN
aiti-6939	221	9	,	,	PUNCT
aiti-6939	221	10	s.	s.	PROPN
aiti-6939	221	11	ioffe	ioffe	PROPN
aiti-6939	221	12	,	,	PUNCT
aiti-6939	221	13	j.	j.	PROPN
aiti-6939	221	14	shlens	shlens	PROPN
aiti-6939	221	15	,	,	PUNCT
aiti-6939	221	16	and	and	CCONJ
aiti-6939	221	17	z.	z.	PROPN
aiti-6939	221	18	wojna	wojna	PROPN
aiti-6939	221	19	,	,	PUNCT
aiti-6939	221	20	“	"	PUNCT
aiti-6939	221	21	rethinking	rethink	VERB
aiti-6939	221	22	the	the	DET
aiti-6939	221	23	inception	inception	ADJ
aiti-6939	221	24	architecture	architecture	NOUN
aiti-6939	221	25	for	for	ADP
aiti-6939	221	26	computer	computer	NOUN
aiti-6939	221	27	vision	vision	NOUN
aiti-6939	221	28	,	,	PUNCT
aiti-6939	221	29	”	"	PUNCT
aiti-6939	221	30	ieee	ieee	NOUN
aiti-6939	221	31	conference	conference	NOUN
aiti-6939	221	32	on	on	ADP
aiti-6939	221	33	computer	computer	NOUN
aiti-6939	221	34	vision	vision	NOUN
aiti-6939	221	35	and	and	CCONJ
aiti-6939	221	36	pattern	pattern	NOUN
aiti-6939	221	37	recognition	recognition	NOUN
aiti-6939	221	38	,	,	PUNCT
aiti-6939	221	39	june	june	PROPN
aiti-6939	221	40	2016	2016	NUM
aiti-6939	221	41	,	,	PUNCT
aiti-6939	221	42	pp	pp	ADV
aiti-6939	221	43	.	.	PUNCT
aiti-6939	221	44	2818	2818	NUM
aiti-6939	221	45	-	-	SYM
aiti-6939	221	46	2826	2826	NUM
aiti-6939	221	47	.	.	PUNCT
aiti-6939	222	1	[	[	X
aiti-6939	222	2	10	10	NUM
aiti-6939	222	3	]	]	X
aiti-6939	222	4	c.	c.	PROPN
aiti-6939	222	5	szegedy	szegedy	PROPN
aiti-6939	222	6	,	,	PUNCT
aiti-6939	222	7	s.	s.	PROPN
aiti-6939	222	8	ioffe	ioffe	PROPN
aiti-6939	222	9	,	,	PUNCT
aiti-6939	222	10	v.	v.	PROPN
aiti-6939	222	11	vanhoucke	vanhoucke	PROPN
aiti-6939	222	12	,	,	PUNCT
aiti-6939	222	13	and	and	CCONJ
aiti-6939	222	14	a.	a.	NOUN
aiti-6939	222	15	alemi	alemi	NOUN
aiti-6939	222	16	,	,	PUNCT
aiti-6939	222	17	“	"	PUNCT
aiti-6939	222	18	inception	inception	NOUN
aiti-6939	222	19	-	-	PUNCT
aiti-6939	222	20	v4	v4	NOUN
aiti-6939	222	21	,	,	PUNCT
aiti-6939	222	22	inception	inception	NOUN
aiti-6939	222	23	-	-	PUNCT
aiti-6939	222	24	resnet	resnet	NOUN
aiti-6939	222	25	and	and	CCONJ
aiti-6939	222	26	the	the	DET
aiti-6939	222	27	impact	impact	NOUN
aiti-6939	222	28	of	of	ADP
aiti-6939	222	29	residual	residual	ADJ
aiti-6939	222	30	connections	connection	NOUN
aiti-6939	222	31	on	on	ADP
aiti-6939	222	32	learning	learn	VERB
aiti-6939	222	33	,	,	PUNCT
aiti-6939	222	34	”	"	PUNCT
aiti-6939	222	35	https://arxiv.org/pdf/1602.07261.pdf	https://arxiv.org/pdf/1602.07261.pdf	PROPN
aiti-6939	222	36	,	,	PUNCT
aiti-6939	222	37	august	august	PROPN
aiti-6939	222	38	23	23	NUM
aiti-6939	222	39	,	,	PUNCT
aiti-6939	222	40	2016	2016	NUM
aiti-6939	222	41	.	.	PUNCT
aiti-6939	223	1	[	[	X
aiti-6939	223	2	11	11	NUM
aiti-6939	223	3	]	]	PUNCT
aiti-6939	223	4	r.	r.	PROPN
aiti-6939	223	5	r.	r.	PROPN
aiti-6939	223	6	selvaraju	selvaraju	PROPN
aiti-6939	223	7	,	,	PUNCT
aiti-6939	223	8	m.	m.	NOUN
aiti-6939	223	9	cogswell	cogswell	PROPN
aiti-6939	223	10	,	,	PUNCT
aiti-6939	223	11	a.	a.	PROPN
aiti-6939	223	12	das	das	PROPN
aiti-6939	223	13	,	,	PUNCT
aiti-6939	223	14	r.	r.	PROPN
aiti-6939	223	15	vedantam	vedantam	PROPN
aiti-6939	223	16	,	,	PUNCT
aiti-6939	223	17	d.	d.	PROPN
aiti-6939	223	18	parikh	parikh	PROPN
aiti-6939	223	19	,	,	PUNCT
aiti-6939	223	20	and	and	CCONJ
aiti-6939	223	21	d.	d.	PROPN
aiti-6939	223	22	batra	batra	PROPN
aiti-6939	223	23	,	,	PUNCT
aiti-6939	223	24	“	"	PUNCT
aiti-6939	223	25	grad	grad	NOUN
aiti-6939	223	26	-	-	PUNCT
aiti-6939	223	27	cam	cam	NOUN
aiti-6939	223	28	:	:	PUNCT
aiti-6939	223	29	visual	visual	ADJ
aiti-6939	223	30	explanations	explanation	NOUN
aiti-6939	223	31	from	from	ADP
aiti-6939	223	32	deep	deep	ADJ
aiti-6939	223	33	networks	network	NOUN
aiti-6939	223	34	via	via	ADP
aiti-6939	223	35	gradient	gradient	NOUN
aiti-6939	223	36	-	-	PUNCT
aiti-6939	223	37	based	base	VERB
aiti-6939	223	38	localization	localization	NOUN
aiti-6939	223	39	,	,	PUNCT
aiti-6939	223	40	”	"	PUNCT
aiti-6939	223	41	ieee	ieee	PROPN
aiti-6939	223	42	international	international	ADJ
aiti-6939	223	43	conference	conference	NOUN
aiti-6939	223	44	on	on	ADP
aiti-6939	223	45	computer	computer	NOUN
aiti-6939	223	46	vision	vision	NOUN
aiti-6939	223	47	,	,	PUNCT
aiti-6939	223	48	october	october	PROPN
aiti-6939	223	49	2017	2017	NUM
aiti-6939	223	50	,	,	PUNCT
aiti-6939	223	51	pp	pp	ADJ
aiti-6939	223	52	.	.	PUNCT
aiti-6939	224	1	618	618	NUM
aiti-6939	224	2	-	-	SYM
aiti-6939	224	3	626	626	NUM
aiti-6939	224	4	.	.	PUNCT
aiti-6939	225	1	[	[	X
aiti-6939	225	2	12	12	NUM
aiti-6939	225	3	]	]	X
aiti-6939	225	4	d.	d.	PROPN
aiti-6939	225	5	smilkov	smilkov	PROPN
aiti-6939	225	6	,	,	PUNCT
aiti-6939	225	7	n.	n.	NOUN
aiti-6939	225	8	thorat	thorat	NOUN
aiti-6939	225	9	,	,	PUNCT
aiti-6939	225	10	b.	b.	PROPN
aiti-6939	225	11	kim	kim	PROPN
aiti-6939	225	12	,	,	PUNCT
aiti-6939	225	13	f.	f.	PROPN
aiti-6939	225	14	viégas	viégas	PROPN
aiti-6939	225	15	,	,	PUNCT
aiti-6939	225	16	and	and	CCONJ
aiti-6939	225	17	m.	m.	PROPN
aiti-6939	225	18	wattenberg	wattenberg	PROPN
aiti-6939	225	19	,	,	PUNCT
aiti-6939	225	20	“	"	PUNCT
aiti-6939	225	21	smoothgrad	smoothgrad	ADV
aiti-6939	225	22	:	:	PUNCT
aiti-6939	225	23	removing	remove	VERB
aiti-6939	225	24	noise	noise	NOUN
aiti-6939	225	25	by	by	ADP
aiti-6939	225	26	adding	add	VERB
aiti-6939	225	27	noise	noise	NOUN
aiti-6939	225	28	,	,	PUNCT
aiti-6939	225	29	”	"	PUNCT
aiti-6939	225	30	https://arxiv.org/pdf/1706.03825.pdf	https://arxiv.org/pdf/1706.03825.pdf	PROPN
aiti-6939	225	31	,	,	PUNCT
aiti-6939	225	32	june	june	PROPN
aiti-6939	225	33	12	12	NUM
aiti-6939	225	34	,	,	PUNCT
aiti-6939	225	35	2017	2017	NUM
aiti-6939	225	36	.	.	PUNCT
aiti-6939	226	1	[	[	X
aiti-6939	226	2	13	13	NUM
aiti-6939	226	3	]	]	PUNCT
aiti-6939	226	4	l.	l.	PROPN
aiti-6939	226	5	zhang	zhang	PROPN
aiti-6939	226	6	,	,	PUNCT
aiti-6939	226	7	advances	advance	NOUN
aiti-6939	226	8	in	in	ADP
aiti-6939	226	9	forest	forest	NOUN
aiti-6939	226	10	management	management	NOUN
aiti-6939	226	11	under	under	ADP
aiti-6939	226	12	global	global	ADJ
aiti-6939	226	13	change	change	NOUN
aiti-6939	226	14	,	,	PUNCT
aiti-6939	226	15	london	london	PROPN
aiti-6939	226	16	:	:	PUNCT
aiti-6939	226	17	intechopen	intechopen	ADJ
aiti-6939	226	18	,	,	PUNCT
aiti-6939	226	19	2020	2020	NUM
aiti-6939	226	20	.	.	PUNCT
aiti-6939	227	1	[	[	X
aiti-6939	227	2	14	14	NUM
aiti-6939	227	3	]	]	PUNCT
aiti-6939	227	4	x.	x.	NOUN
aiti-6939	227	5	li	li	PROPN
aiti-6939	227	6	,	,	PUNCT
aiti-6939	227	7	p.	p.	PROPN
aiti-6939	227	8	nie	nie	PROPN
aiti-6939	227	9	,	,	PUNCT
aiti-6939	227	10	z.	z.	PROPN
aiti-6939	227	11	j.	j.	PROPN
aiti-6939	227	12	qiu	qiu	PROPN
aiti-6939	227	13	,	,	PUNCT
aiti-6939	227	14	and	and	CCONJ
aiti-6939	227	15	y.	y.	PROPN
aiti-6939	227	16	he	he	PRON
aiti-6939	227	17	,	,	PUNCT
aiti-6939	227	18	“	"	PUNCT
aiti-6939	227	19	using	use	VERB
aiti-6939	227	20	wavelet	wavelet	NOUN
aiti-6939	227	21	transform	transform	NOUN
aiti-6939	227	22	and	and	CCONJ
aiti-6939	227	23	multi	multi	ADJ
aiti-6939	227	24	-	-	ADJ
aiti-6939	227	25	class	class	ADJ
aiti-6939	227	26	least	least	ADJ
aiti-6939	227	27	square	square	ADJ
aiti-6939	227	28	support	support	NOUN
aiti-6939	227	29	vector	vector	NOUN
aiti-6939	227	30	machine	machine	NOUN
aiti-6939	227	31	in	in	ADP
aiti-6939	227	32	multi	multi	ADJ
aiti-6939	227	33	-	-	ADJ
aiti-6939	227	34	spectral	spectral	ADJ
aiti-6939	227	35	imaging	imaging	NOUN
aiti-6939	227	36	classification	classification	NOUN
aiti-6939	227	37	of	of	ADP
aiti-6939	227	38	chinese	chinese	ADJ
aiti-6939	227	39	famous	famous	ADJ
aiti-6939	227	40	tea	tea	NOUN
aiti-6939	227	41	,	,	PUNCT
aiti-6939	227	42	”	"	PUNCT
aiti-6939	227	43	expert	expert	NOUN
aiti-6939	227	44	systems	system	NOUN
aiti-6939	227	45	with	with	ADP
aiti-6939	227	46	applications	application	NOUN
aiti-6939	227	47	,	,	PUNCT
aiti-6939	227	48	vol	vol	NOUN
aiti-6939	227	49	.	.	PROPN
aiti-6939	228	1	38	38	NUM
aiti-6939	228	2	,	,	PUNCT
aiti-6939	228	3	no	no	INTJ
aiti-6939	228	4	.	.	NOUN
aiti-6939	228	5	9	9	NUM
aiti-6939	228	6	,	,	PUNCT
aiti-6939	228	7	pp	pp	ADJ
aiti-6939	228	8	.	.	PUNCT
aiti-6939	229	1	11149	11149	NUM
aiti-6939	229	2	-	-	SYM
aiti-6939	229	3	11159	11159	NUM
aiti-6939	229	4	,	,	PUNCT
aiti-6939	229	5	september	september	PROPN
aiti-6939	229	6	2011	2011	NUM
aiti-6939	229	7	.	.	PUNCT
aiti-6939	230	1	[	[	X
aiti-6939	230	2	15	15	NUM
aiti-6939	230	3	]	]	X
aiti-6939	230	4	q.	q.	PROPN
aiti-6939	230	5	chen	chen	PROPN
aiti-6939	230	6	,	,	PUNCT
aiti-6939	230	7	j.	j.	PROPN
aiti-6939	230	8	zhao	zhao	PROPN
aiti-6939	230	9	,	,	PUNCT
aiti-6939	230	10	and	and	CCONJ
aiti-6939	230	11	j.	j.	PROPN
aiti-6939	230	12	cai	cai	PROPN
aiti-6939	230	13	,	,	PUNCT
aiti-6939	230	14	“	"	PUNCT
aiti-6939	230	15	identification	identification	NOUN
aiti-6939	230	16	of	of	ADP
aiti-6939	230	17	tea	tea	NOUN
aiti-6939	230	18	varieties	variety	NOUN
aiti-6939	230	19	using	use	VERB
aiti-6939	230	20	computer	computer	NOUN
aiti-6939	230	21	vision	vision	NOUN
aiti-6939	230	22	,	,	PUNCT
aiti-6939	230	23	”	"	PUNCT
aiti-6939	230	24	transactions	transaction	NOUN
aiti-6939	230	25	of	of	ADP
aiti-6939	230	26	the	the	DET
aiti-6939	230	27	asabe	asabe	ADJ
aiti-6939	230	28	,	,	PUNCT
aiti-6939	230	29	vol	vol	NOUN
aiti-6939	230	30	.	.	PROPN
aiti-6939	231	1	51	51	NUM
aiti-6939	231	2	,	,	PUNCT
aiti-6939	231	3	no	no	INTJ
aiti-6939	231	4	.	.	NOUN
aiti-6939	231	5	2	2	NUM
aiti-6939	231	6	,	,	PUNCT
aiti-6939	231	7	pp	pp	ADJ
aiti-6939	231	8	.	.	PUNCT
aiti-6939	232	1	623	623	NUM
aiti-6939	232	2	-	-	SYM
aiti-6939	232	3	628	628	NUM
aiti-6939	232	4	,	,	PUNCT
aiti-6939	232	5	march	march	PROPN
aiti-6939	232	6	-	-	PUNCT
aiti-6939	232	7	april	april	PROPN
aiti-6939	232	8	2008	2008	NUM
aiti-6939	232	9	.	.	PUNCT
aiti-6939	233	1	[	[	X
aiti-6939	233	2	16	16	NUM
aiti-6939	233	3	]	]	X
aiti-6939	233	4	s.	s.	PROPN
aiti-6939	233	5	wang	wang	PROPN
aiti-6939	233	6	,	,	PUNCT
aiti-6939	233	7	x.	x.	PROPN
aiti-6939	233	8	yang	yang	PROPN
aiti-6939	233	9	,	,	PUNCT
aiti-6939	233	10	y.	y.	PROPN
aiti-6939	233	11	zhang	zhang	PROPN
aiti-6939	233	12	,	,	PUNCT
aiti-6939	233	13	p.	p.	PROPN
aiti-6939	233	14	phillips	phillips	PROPN
aiti-6939	233	15	,	,	PUNCT
aiti-6939	233	16	j.	j.	PROPN
aiti-6939	233	17	yang	yang	PROPN
aiti-6939	233	18	,	,	PUNCT
aiti-6939	233	19	and	and	CCONJ
aiti-6939	233	20	t.	t.	PROPN
aiti-6939	233	21	f.	f.	PROPN
aiti-6939	233	22	yuan	yuan	PROPN
aiti-6939	233	23	,	,	PUNCT
aiti-6939	233	24	“	"	PUNCT
aiti-6939	233	25	identification	identification	NOUN
aiti-6939	233	26	of	of	ADP
aiti-6939	233	27	green	green	ADJ
aiti-6939	233	28	,	,	PUNCT
aiti-6939	233	29	oolong	oolong	ADJ
aiti-6939	233	30	and	and	CCONJ
aiti-6939	233	31	black	black	ADJ
aiti-6939	233	32	teas	tea	NOUN
aiti-6939	233	33	in	in	ADP
aiti-6939	233	34	china	china	PROPN
aiti-6939	233	35	via	via	ADP
aiti-6939	233	36	wavelet	wavelet	NOUN
aiti-6939	233	37	packet	packet	NOUN
aiti-6939	233	38	entropy	entropy	NOUN
aiti-6939	233	39	and	and	CCONJ
aiti-6939	233	40	fuzzy	fuzzy	ADJ
aiti-6939	233	41	support	support	NOUN
aiti-6939	233	42	vector	vector	NOUN
aiti-6939	233	43	machine	machine	NOUN
aiti-6939	233	44	,	,	PUNCT
aiti-6939	233	45	”	"	PUNCT
aiti-6939	233	46	entropy	entropy	NOUN
aiti-6939	233	47	,	,	PUNCT
aiti-6939	233	48	vol	vol	NOUN
aiti-6939	233	49	.	.	PROPN
aiti-6939	233	50	17	17	NUM
aiti-6939	233	51	,	,	PUNCT
aiti-6939	233	52	no	no	INTJ
aiti-6939	233	53	.	.	NOUN
aiti-6939	233	54	10	10	NUM
aiti-6939	233	55	,	,	PUNCT
aiti-6939	233	56	pp	pp	ADJ
aiti-6939	233	57	.	.	PUNCT
aiti-6939	233	58	6663	6663	NUM
aiti-6939	233	59	-	-	SYM
aiti-6939	233	60	6682	6682	NUM
aiti-6939	233	61	,	,	PUNCT
aiti-6939	233	62	october	october	PROPN
aiti-6939	233	63	2015	2015	NUM
aiti-6939	233	64	.	.	PUNCT
aiti-6939	234	1	[	[	X
aiti-6939	234	2	17	17	NUM
aiti-6939	234	3	]	]	X
aiti-6939	234	4	f.	f.	PROPN
aiti-6939	234	5	schroff	schroff	PROPN
aiti-6939	234	6	,	,	PUNCT
aiti-6939	234	7	d.	d.	PROPN
aiti-6939	234	8	kalenichenko	kalenichenko	PROPN
aiti-6939	234	9	,	,	PUNCT
aiti-6939	234	10	and	and	CCONJ
aiti-6939	234	11	j.	j.	PROPN
aiti-6939	234	12	philbin	philbin	PROPN
aiti-6939	234	13	,	,	PUNCT
aiti-6939	234	14	“	"	PUNCT
aiti-6939	234	15	facenet	facenet	NOUN
aiti-6939	234	16	:	:	PUNCT
aiti-6939	234	17	a	a	DET
aiti-6939	234	18	unified	unified	ADJ
aiti-6939	234	19	embedding	embedding	NOUN
aiti-6939	234	20	for	for	ADP
aiti-6939	234	21	face	face	NOUN
aiti-6939	234	22	recognition	recognition	NOUN
aiti-6939	234	23	and	and	CCONJ
aiti-6939	234	24	clustering	clustering	NOUN
aiti-6939	234	25	,	,	PUNCT
aiti-6939	234	26	”	"	PUNCT
aiti-6939	234	27	ieee	ieee	NOUN
aiti-6939	234	28	conference	conference	NOUN
aiti-6939	234	29	on	on	ADP
aiti-6939	234	30	computer	computer	NOUN
aiti-6939	234	31	vision	vision	NOUN
aiti-6939	234	32	and	and	CCONJ
aiti-6939	234	33	pattern	pattern	NOUN
aiti-6939	234	34	recognition	recognition	NOUN
aiti-6939	234	35	,	,	PUNCT
aiti-6939	234	36	june	june	PROPN
aiti-6939	234	37	2015	2015	NUM
aiti-6939	234	38	,	,	PUNCT
aiti-6939	234	39	pp	pp	PROPN
aiti-6939	234	40	.	.	PUNCT
aiti-6939	234	41	815	815	NUM
aiti-6939	234	42	-	-	SYM
aiti-6939	234	43	823	823	NUM
aiti-6939	234	44	.	.	PUNCT
aiti-6939	235	1	copyright	copyright	NOUN
aiti-6939	235	2	©	©	PROPN
aiti-6939	235	3	by	by	ADP
aiti-6939	235	4	the	the	DET
aiti-6939	235	5	authors	author	NOUN
aiti-6939	235	6	.	.	PUNCT
aiti-6939	236	1	licensee	licensee	PROPN
aiti-6939	236	2	taeti	taeti	PROPN
aiti-6939	236	3	,	,	PUNCT
aiti-6939	236	4	taiwan	taiwan	PROPN
aiti-6939	236	5	.	.	PUNCT
aiti-6939	237	1	this	this	DET
aiti-6939	237	2	article	article	NOUN
aiti-6939	237	3	is	be	AUX
aiti-6939	237	4	an	an	DET
aiti-6939	237	5	open	open	ADJ
aiti-6939	237	6	access	access	NOUN
aiti-6939	237	7	article	article	NOUN
aiti-6939	237	8	distributed	distribute	VERB
aiti-6939	237	9	under	under	ADP
aiti-6939	237	10	the	the	DET
aiti-6939	237	11	terms	term	NOUN
aiti-6939	237	12	and	and	CCONJ
aiti-6939	237	13	conditions	condition	NOUN
aiti-6939	237	14	of	of	ADP
aiti-6939	237	15	the	the	DET
aiti-6939	237	16	creative	creative	ADJ
aiti-6939	237	17	commons	common	NOUN
aiti-6939	237	18	attribution	attribution	NOUN
aiti-6939	237	19	(	(	PUNCT
aiti-6939	237	20	cc	cc	NOUN
aiti-6939	237	21	by	by	ADP
aiti-6939	237	22	-	-	PUNCT
aiti-6939	237	23	nc	nc	NOUN
aiti-6939	237	24	)	)	PUNCT
aiti-6939	237	25	license	license	NOUN
aiti-6939	237	26	(	(	PUNCT
aiti-6939	237	27	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-6939	237	28	)	)	PUNCT
aiti-6939	237	29	.	.	PUNCT
aiti-6939	238	1	appendix	appendix	VERB
aiti-6939	238	2	the	the	DET
aiti-6939	238	3	appendix	appendix	NOUN
aiti-6939	238	4	shows	show	VERB
aiti-6939	238	5	the	the	DET
aiti-6939	238	6	sub	sub	NOUN
aiti-6939	238	7	-	-	NOUN
aiti-6939	238	8	images	image	NOUN
aiti-6939	238	9	’	'	PUNCT
aiti-6939	238	10	prediction	prediction	NOUN
aiti-6939	238	11	percentage	percentage	NOUN
aiti-6939	238	12	results	result	NOUN
aiti-6939	238	13	of	of	ADP
aiti-6939	238	14	class	class	NOUN
aiti-6939	238	15	0	0	NUM
aiti-6939	238	16	~	~	PUNCT
aiti-6939	238	17	class	class	NOUN
aiti-6939	238	18	5	5	NUM
aiti-6939	238	19	oolong	oolong	NOUN
aiti-6939	238	20	tea	tea	NOUN
aiti-6939	238	21	test	test	NOUN
aiti-6939	238	22	images	image	NOUN
aiti-6939	238	23	using	use	VERB
aiti-6939	238	24	class	class	NOUN
aiti-6939	238	25	1	1	NUM
aiti-6939	238	26	~	~	PUNCT
aiti-6939	238	27	class	class	NOUN
aiti-6939	238	28	5	5	NUM
aiti-6939	238	29	as	as	ADP
aiti-6939	238	30	positive	positive	ADJ
aiti-6939	238	31	category	category	NOUN
aiti-6939	238	32	models	model	NOUN
aiti-6939	238	33	(	(	PUNCT
aiti-6939	238	34	figs	fig	NOUN
aiti-6939	238	35	.	.	PUNCT
aiti-6939	239	1	18	18	NUM
aiti-6939	239	2	-	-	SYM
aiti-6939	239	3	22	22	NUM
aiti-6939	239	4	)	)	PUNCT
aiti-6939	239	5	.	.	PUNCT
aiti-6939	240	1	(	(	PUNCT
aiti-6939	240	2	a	a	X
aiti-6939	240	3	)	)	PUNCT
aiti-6939	240	4	class	class	NOUN
aiti-6939	240	5	0	0	NUM
aiti-6939	240	6	(	(	PUNCT
aiti-6939	240	7	b	b	NOUN
aiti-6939	240	8	)	)	PUNCT
aiti-6939	240	9	class	class	NOUN
aiti-6939	240	10	1	1	NUM
aiti-6939	240	11	(	(	PUNCT
aiti-6939	240	12	c	c	NOUN
aiti-6939	240	13	)	)	PUNCT
aiti-6939	240	14	class	class	NOUN
aiti-6939	240	15	2	2	NUM
aiti-6939	240	16	(	(	PUNCT
aiti-6939	240	17	d	d	NOUN
aiti-6939	240	18	)	)	PUNCT
aiti-6939	240	19	class3	class3	NOUN
aiti-6939	240	20	(	(	PUNCT
aiti-6939	240	21	e	e	NOUN
aiti-6939	240	22	)	)	PUNCT
aiti-6939	240	23	class	class	NOUN
aiti-6939	240	24	4	4	NUM
aiti-6939	240	25	(	(	PUNCT
aiti-6939	240	26	f	f	X
aiti-6939	240	27	)	)	PUNCT
aiti-6939	240	28	class	class	NOUN
aiti-6939	240	29	5	5	NUM
aiti-6939	240	30	fig	fig	NOUN
aiti-6939	240	31	.	.	PUNCT
aiti-6939	240	32	18	18	NUM
aiti-6939	240	33	the	the	DET
aiti-6939	240	34	sub	sub	ADJ
aiti-6939	240	35	-	-	ADJ
aiti-6939	240	36	images	image	NOUN
aiti-6939	240	37	prediction	prediction	NOUN
aiti-6939	240	38	percentage	percentage	NOUN
aiti-6939	240	39	results	result	NOUN
aiti-6939	240	40	of	of	ADP
aiti-6939	240	41	class	class	NOUN
aiti-6939	240	42	0	0	NUM
aiti-6939	240	43	~	~	PUNCT
aiti-6939	240	44	class	class	NOUN
aiti-6939	240	45	5	5	NUM
aiti-6939	240	46	oolong	oolong	NOUN
aiti-6939	240	47	tea	tea	NOUN
aiti-6939	240	48	test	test	NOUN
aiti-6939	240	49	images	image	NOUN
aiti-6939	240	50	using	use	VERB
aiti-6939	240	51	“	"	PUNCT
aiti-6939	240	52	class	class	NOUN
aiti-6939	240	53	1	1	NUM
aiti-6939	240	54	as	as	ADP
aiti-6939	240	55	positive	positive	ADJ
aiti-6939	240	56	category	category	NOUN
aiti-6939	240	57	”	"	PUNCT
aiti-6939	240	58	model	model	NOUN
aiti-6939	240	59	210	210	NUM
aiti-6939	240	60	advances	advance	NOUN
aiti-6939	240	61	in	in	ADP
aiti-6939	240	62	technology	technology	NOUN
aiti-6939	240	63	innovation	innovation	NOUN
aiti-6939	240	64	,	,	PUNCT
aiti-6939	240	65	vol	vol	NOUN
aiti-6939	240	66	.	.	PROPN
aiti-6939	240	67	6	6	NUM
aiti-6939	240	68	,	,	PUNCT
aiti-6939	240	69	no	no	INTJ
aiti-6939	240	70	.	.	NOUN
aiti-6939	240	71	4	4	NUM
aiti-6939	240	72	,	,	PUNCT
aiti-6939	240	73	2021	2021	NUM
aiti-6939	240	74	,	,	PUNCT
aiti-6939	240	75	pp	pp	ADJ
aiti-6939	240	76	.	.	PUNCT
aiti-6939	241	1	199	199	NUM
aiti-6939	241	2	-	-	SYM
aiti-6939	241	3	212	212	NUM
aiti-6939	241	4	(	(	PUNCT
aiti-6939	241	5	a	a	PRON
aiti-6939	241	6	)	)	PUNCT
aiti-6939	241	7	class	class	NOUN
aiti-6939	241	8	0	0	NUM
aiti-6939	241	9	(	(	PUNCT
aiti-6939	241	10	b	b	NOUN
aiti-6939	241	11	)	)	PUNCT
aiti-6939	241	12	class	class	NOUN
aiti-6939	241	13	1	1	NUM
aiti-6939	241	14	(	(	PUNCT
aiti-6939	241	15	c	c	NOUN
aiti-6939	241	16	)	)	PUNCT
aiti-6939	241	17	class	class	NOUN
aiti-6939	241	18	2	2	NUM
aiti-6939	241	19	(	(	PUNCT
aiti-6939	241	20	d	d	NOUN
aiti-6939	241	21	)	)	PUNCT
aiti-6939	241	22	class3	class3	NOUN
aiti-6939	241	23	(	(	PUNCT
aiti-6939	241	24	e	e	NOUN
aiti-6939	241	25	)	)	PUNCT
aiti-6939	241	26	class	class	NOUN
aiti-6939	241	27	4	4	NUM
aiti-6939	241	28	(	(	PUNCT
aiti-6939	241	29	f	f	X
aiti-6939	241	30	)	)	PUNCT
aiti-6939	241	31	class	class	NOUN
aiti-6939	241	32	5	5	NUM
aiti-6939	241	33	fig	fig	NOUN
aiti-6939	241	34	.	.	PUNCT
aiti-6939	241	35	19	19	NUM
aiti-6939	241	36	the	the	DET
aiti-6939	241	37	sub	sub	ADJ
aiti-6939	241	38	-	-	ADJ
aiti-6939	241	39	images	image	NOUN
aiti-6939	241	40	prediction	prediction	NOUN
aiti-6939	241	41	percentage	percentage	NOUN
aiti-6939	241	42	results	result	NOUN
aiti-6939	241	43	of	of	ADP
aiti-6939	241	44	class	class	NOUN
aiti-6939	241	45	0	0	NUM
aiti-6939	241	46	~	~	PUNCT
aiti-6939	241	47	class	class	NOUN
aiti-6939	241	48	5	5	NUM
aiti-6939	241	49	oolong	oolong	NOUN
aiti-6939	241	50	tea	tea	NOUN
aiti-6939	241	51	test	test	NOUN
aiti-6939	241	52	images	image	NOUN
aiti-6939	241	53	using	use	VERB
aiti-6939	241	54	“	"	PUNCT
aiti-6939	241	55	class	class	NOUN
aiti-6939	241	56	2	2	NUM
aiti-6939	241	57	as	as	ADP
aiti-6939	241	58	positive	positive	ADJ
aiti-6939	241	59	category	category	NOUN
aiti-6939	241	60	”	"	PUNCT
aiti-6939	241	61	model	model	NOUN
aiti-6939	241	62	(	(	PUNCT
aiti-6939	241	63	a	a	NOUN
aiti-6939	241	64	)	)	PUNCT
aiti-6939	241	65	class	class	NOUN
aiti-6939	241	66	0	0	NUM
aiti-6939	241	67	(	(	PUNCT
aiti-6939	241	68	b	b	NOUN
aiti-6939	241	69	)	)	PUNCT
aiti-6939	241	70	class	class	NOUN
aiti-6939	241	71	1	1	NUM
aiti-6939	241	72	(	(	PUNCT
aiti-6939	241	73	c	c	NOUN
aiti-6939	241	74	)	)	PUNCT
aiti-6939	241	75	class	class	NOUN
aiti-6939	241	76	2	2	NUM
aiti-6939	241	77	(	(	PUNCT
aiti-6939	241	78	d	d	NOUN
aiti-6939	241	79	)	)	PUNCT
aiti-6939	241	80	class3	class3	NOUN
aiti-6939	241	81	(	(	PUNCT
aiti-6939	241	82	e	e	NOUN
aiti-6939	241	83	)	)	PUNCT
aiti-6939	241	84	class	class	NOUN
aiti-6939	241	85	4	4	NUM
aiti-6939	241	86	(	(	PUNCT
aiti-6939	241	87	f	f	X
aiti-6939	241	88	)	)	PUNCT
aiti-6939	241	89	class	class	NOUN
aiti-6939	241	90	5	5	NUM
aiti-6939	241	91	fig	fig	NOUN
aiti-6939	241	92	.	.	PUNCT
aiti-6939	241	93	20	20	NUM
aiti-6939	241	94	the	the	DET
aiti-6939	241	95	sub	sub	ADJ
aiti-6939	241	96	-	-	ADJ
aiti-6939	241	97	images	image	NOUN
aiti-6939	241	98	prediction	prediction	NOUN
aiti-6939	241	99	percentage	percentage	NOUN
aiti-6939	241	100	results	result	NOUN
aiti-6939	241	101	of	of	ADP
aiti-6939	241	102	class	class	NOUN
aiti-6939	241	103	0	0	NUM
aiti-6939	241	104	~	~	PUNCT
aiti-6939	241	105	class	class	NOUN
aiti-6939	241	106	5	5	NUM
aiti-6939	241	107	oolong	oolong	NOUN
aiti-6939	241	108	tea	tea	NOUN
aiti-6939	241	109	test	test	NOUN
aiti-6939	241	110	images	image	NOUN
aiti-6939	241	111	using	use	VERB
aiti-6939	241	112	“	"	PUNCT
aiti-6939	241	113	class	class	NOUN
aiti-6939	241	114	3	3	NUM
aiti-6939	241	115	as	as	ADP
aiti-6939	241	116	positive	positive	ADJ
aiti-6939	241	117	category	category	NOUN
aiti-6939	241	118	”	"	PUNCT
aiti-6939	241	119	model	model	NOUN
aiti-6939	241	120	211	211	NUM
aiti-6939	241	121	advances	advance	NOUN
aiti-6939	241	122	in	in	ADP
aiti-6939	241	123	technology	technology	NOUN
aiti-6939	241	124	innovation	innovation	NOUN
aiti-6939	241	125	,	,	PUNCT
aiti-6939	241	126	vol	vol	NOUN
aiti-6939	241	127	.	.	PROPN
aiti-6939	241	128	6	6	NUM
aiti-6939	241	129	,	,	PUNCT
aiti-6939	241	130	no	no	INTJ
aiti-6939	241	131	.	.	NOUN
aiti-6939	241	132	4	4	NUM
aiti-6939	241	133	,	,	PUNCT
aiti-6939	241	134	2021	2021	NUM
aiti-6939	241	135	,	,	PUNCT
aiti-6939	241	136	pp	pp	ADJ
aiti-6939	241	137	.	.	PUNCT
aiti-6939	242	1	199	199	NUM
aiti-6939	242	2	-	-	SYM
aiti-6939	242	3	212	212	NUM
aiti-6939	242	4	(	(	PUNCT
aiti-6939	242	5	a	a	PRON
aiti-6939	242	6	)	)	PUNCT
aiti-6939	242	7	class	class	NOUN
aiti-6939	242	8	0	0	NUM
aiti-6939	242	9	(	(	PUNCT
aiti-6939	242	10	b	b	NOUN
aiti-6939	242	11	)	)	PUNCT
aiti-6939	242	12	class	class	NOUN
aiti-6939	242	13	1	1	NUM
aiti-6939	242	14	(	(	PUNCT
aiti-6939	242	15	c	c	NOUN
aiti-6939	242	16	)	)	PUNCT
aiti-6939	242	17	class	class	NOUN
aiti-6939	242	18	2	2	NUM
aiti-6939	242	19	(	(	PUNCT
aiti-6939	242	20	d	d	NOUN
aiti-6939	242	21	)	)	PUNCT
aiti-6939	242	22	class3	class3	NOUN
aiti-6939	242	23	(	(	PUNCT
aiti-6939	242	24	e	e	NOUN
aiti-6939	242	25	)	)	PUNCT
aiti-6939	242	26	class	class	NOUN
aiti-6939	242	27	4	4	NUM
aiti-6939	242	28	(	(	PUNCT
aiti-6939	242	29	f	f	X
aiti-6939	242	30	)	)	PUNCT
aiti-6939	242	31	class	class	NOUN
aiti-6939	242	32	5	5	NUM
aiti-6939	242	33	fig	fig	NOUN
aiti-6939	242	34	.	.	PUNCT
aiti-6939	243	1	21	21	NUM
aiti-6939	243	2	the	the	DET
aiti-6939	243	3	sub	sub	ADJ
aiti-6939	243	4	-	-	ADJ
aiti-6939	243	5	images	image	NOUN
aiti-6939	243	6	prediction	prediction	NOUN
aiti-6939	243	7	percentage	percentage	NOUN
aiti-6939	243	8	results	result	NOUN
aiti-6939	243	9	of	of	ADP
aiti-6939	243	10	class	class	NOUN
aiti-6939	243	11	0	0	NUM
aiti-6939	243	12	~	~	PUNCT
aiti-6939	243	13	class	class	NOUN
aiti-6939	243	14	5	5	NUM
aiti-6939	243	15	oolong	oolong	NOUN
aiti-6939	243	16	tea	tea	NOUN
aiti-6939	243	17	test	test	NOUN
aiti-6939	243	18	images	image	NOUN
aiti-6939	243	19	using	use	VERB
aiti-6939	243	20	“	"	PUNCT
aiti-6939	243	21	class	class	NOUN
aiti-6939	243	22	4	4	NUM
aiti-6939	243	23	as	as	ADP
aiti-6939	243	24	positive	positive	ADJ
aiti-6939	243	25	category	category	NOUN
aiti-6939	243	26	”	"	PUNCT
aiti-6939	243	27	model	model	NOUN
aiti-6939	243	28	(	(	PUNCT
aiti-6939	243	29	a	a	NOUN
aiti-6939	243	30	)	)	PUNCT
aiti-6939	243	31	class	class	NOUN
aiti-6939	243	32	0	0	NUM
aiti-6939	244	1	(	(	PUNCT
aiti-6939	244	2	b	b	NOUN
aiti-6939	244	3	)	)	PUNCT
aiti-6939	244	4	class	class	NOUN
aiti-6939	244	5	1	1	NUM
aiti-6939	244	6	(	(	PUNCT
aiti-6939	244	7	c	c	NOUN
aiti-6939	244	8	)	)	PUNCT
aiti-6939	244	9	class	class	NOUN
aiti-6939	244	10	2	2	NUM
aiti-6939	244	11	(	(	PUNCT
aiti-6939	244	12	d	d	NOUN
aiti-6939	244	13	)	)	PUNCT
aiti-6939	244	14	class3	class3	NOUN
aiti-6939	244	15	(	(	PUNCT
aiti-6939	244	16	e	e	NOUN
aiti-6939	244	17	)	)	PUNCT
aiti-6939	244	18	class	class	NOUN
aiti-6939	244	19	4	4	NUM
aiti-6939	244	20	(	(	PUNCT
aiti-6939	244	21	f	f	X
aiti-6939	244	22	)	)	PUNCT
aiti-6939	244	23	class	class	NOUN
aiti-6939	244	24	5	5	NUM
aiti-6939	244	25	fig	fig	NOUN
aiti-6939	244	26	.	.	PUNCT
aiti-6939	244	27	22	22	NUM
aiti-6939	245	1	the	the	DET
aiti-6939	245	2	sub	sub	ADJ
aiti-6939	245	3	-	-	ADJ
aiti-6939	245	4	images	image	NOUN
aiti-6939	245	5	prediction	prediction	NOUN
aiti-6939	245	6	percentage	percentage	NOUN
aiti-6939	245	7	results	result	NOUN
aiti-6939	245	8	of	of	ADP
aiti-6939	245	9	class	class	NOUN
aiti-6939	245	10	0	0	NUM
aiti-6939	245	11	~	~	PUNCT
aiti-6939	245	12	class	class	NOUN
aiti-6939	245	13	5	5	NUM
aiti-6939	245	14	oolong	oolong	NOUN
aiti-6939	245	15	tea	tea	NOUN
aiti-6939	245	16	test	test	NOUN
aiti-6939	245	17	images	image	NOUN
aiti-6939	245	18	using	use	VERB
aiti-6939	245	19	“	"	PUNCT
aiti-6939	245	20	class	class	NOUN
aiti-6939	245	21	5	5	NUM
aiti-6939	245	22	as	as	ADP
aiti-6939	245	23	positive	positive	ADJ
aiti-6939	245	24	category	category	NOUN
aiti-6939	245	25	”	"	PUNCT
aiti-6939	245	26	model	model	NOUN
aiti-6939	245	27	212	212	NUM