Datasets:

ShushengYang
/

2_frames_counting

Modalities:

Text

Formats:

Size:

Libraries:

Dataset card Data Studio Files Files and versions Community

Dataset Viewer

Auto-converted to Parquet

Split (1)

test · 500 rows

frame_index sequencelengths 2 2	question stringclasses 48 values	ground_truth stringclasses 14 values	query_category stringclasses 48 values	question_type stringclasses 1 value	dataset stringclasses 2 values	id stringlengths 1 3	scene_name stringlengths 10 12	version stringclasses 1 value
[ 1633, 1744 ]	How many trash bin(s) are in these images?	3	trash bin	multi_frame_counting	scannet	1	scene0685_00	1013
[ 210, 1623 ]	How many toilet(s) are in these images?	2	toilet	multi_frame_counting	scannetpp	2	f3685d06a9	1013
[ 931, 1104 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	3	scene0196_00	1013
[ 2789, 3617 ]	How many ceiling light(s) are in these images?	5	ceiling light	multi_frame_counting	scannetpp	4	21d970d8de	1013
[ 4622, 4862 ]	How many heater(s) are in these images?	2	heater	multi_frame_counting	scannetpp	5	e7af285f7d	1013
[ 189, 1476 ]	How many refrigerator(s) are in these images?	2	refrigerator	multi_frame_counting	scannetpp	6	f9f95681fd	1013
[ 2022, 2098 ]	How many laptop(s) are in these images?	2	laptop	multi_frame_counting	scannetpp	7	25f3b7a318	1013
[ 1113, 5662 ]	How many heater(s) are in these images?	2	heater	multi_frame_counting	scannetpp	8	f3d64c30f8	1013
[ 232, 181 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	9	scene0338_00	1013
[ 755, 1124 ]	How many bookshelf(s) are in these images?	2	bookshelf	multi_frame_counting	scannet	10	scene0598_02	1013
[ 2026, 3067 ]	How many whiteboard(s) are in these images?	2	whiteboard	multi_frame_counting	scannetpp	11	9071e139d9	1013
[ 3445, 3893 ]	How many keyboard(s) are in these images?	2	keyboard	multi_frame_counting	scannetpp	12	38d58a7a31	1013
[ 653, 1128 ]	How many table(s) are in these images?	2	table	multi_frame_counting	scannet	13	scene0496_00	1013
[ 2310, 1637 ]	How many chair(s) are in these images?	2	chair	multi_frame_counting	scannetpp	14	7831862f02	1013
[ 1327, 13 ]	How many window(s) are in these images?	4	window	multi_frame_counting	scannet	15	scene0496_00	1013
[ 157, 151 ]	How many window(s) are in these images?	3	window	multi_frame_counting	scannet	16	scene0684_01	1013
[ 968, 1104 ]	How many counter(s) are in these images?	2	counter	multi_frame_counting	scannet	17	scene0664_02	1013
[ 943, 1022 ]	How many microwave(s) are in these images?	2	microwave	multi_frame_counting	scannetpp	18	40aec5fffa	1013
[ 689, 503 ]	How many chair(s) are in these images?	2	chair	multi_frame_counting	scannet	19	scene0316_00	1013
[ 4996, 2403 ]	How many blanket(s) are in these images?	2	blanket	multi_frame_counting	scannetpp	20	5942004064	1013
[ 614, 696 ]	How many window(s) are in these images?	2	window	multi_frame_counting	scannet	21	scene0025_01	1013
[ 710, 262 ]	How many table(s) are in these images?	2	table	multi_frame_counting	scannet	22	scene0316_00	1013
[ 1681, 1226 ]	How many mirror(s) are in these images?	2	mirror	multi_frame_counting	scannet	23	scene0046_01	1013
[ 1212, 1014 ]	How many tv(s) are in these images?	2	tv	multi_frame_counting	scannet	24	scene0568_02	1013
[ 342, 348 ]	How many window(s) are in these images?	2	window	multi_frame_counting	scannet	25	scene0100_00	1013
[ 1774, 1074 ]	How many table(s) are in these images?	3	table	multi_frame_counting	scannet	26	scene0208_00	1013
[ 711, 333 ]	How many bookshelf(s) are in these images?	2	bookshelf	multi_frame_counting	scannet	27	scene0598_02	1013
[ 795, 341 ]	How many trash bin(s) are in these images?	2	trash bin	multi_frame_counting	scannet	28	scene0338_00	1013
[ 849, 1568 ]	How many monitor(s) are in these images?	2	monitor	multi_frame_counting	scannetpp	29	e398684d27	1013
[ 1602, 2915 ]	How many telephone(s) are in these images?	2	telephone	multi_frame_counting	scannetpp	30	c50d2d1d42	1013
[ 1368, 1006 ]	How many ceiling light(s) are in these images?	2	ceiling light	multi_frame_counting	scannetpp	31	286b55a2bf	1013
[ 1239, 1347 ]	How many cup(s) are in these images?	2	cup	multi_frame_counting	scannetpp	32	f3d64c30f8	1013
[ 2828, 408 ]	How many kettle(s) are in these images?	2	kettle	multi_frame_counting	scannetpp	33	f9f95681fd	1013
[ 264, 257 ]	How many backpack(s) are in these images?	2	backpack	multi_frame_counting	scannet	34	scene0474_04	1013
[ 1775, 1798 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannetpp	35	f2dc06b1d2	1013
[ 1672, 1678 ]	How many chair(s) are in these images?	2	chair	multi_frame_counting	scannetpp	36	f2dc06b1d2	1013
[ 3875, 3725 ]	How many whiteboard(s) are in these images?	2	whiteboard	multi_frame_counting	scannetpp	37	d755b3d9d8	1013
[ 741, 610 ]	How many table(s) are in these images?	5	table	multi_frame_counting	scannet	38	scene0412_00	1013
[ 4324, 2472 ]	How many table(s) are in these images?	4	table	multi_frame_counting	scannetpp	39	ac48a9b736	1013
[ 924, 940 ]	How many trash bin(s) are in these images?	2	trash bin	multi_frame_counting	scannet	40	scene0030_02	1013
[ 421, 845 ]	How many chair(s) are in these images?	2	chair	multi_frame_counting	scannet	41	scene0277_02	1013
[ 972, 827 ]	How many chair(s) are in these images?	5	chair	multi_frame_counting	scannet	42	scene0496_00	1013
[ 2164, 1204 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	43	scene0629_01	1013
[ 55, 3019 ]	How many cutting board(s) are in these images?	2	cutting board	multi_frame_counting	scannetpp	44	27dd4da69e	1013
[ 82, 1929 ]	How many table(s) are in these images?	3	table	multi_frame_counting	scannet	45	scene0629_01	1013
[ 379, 756 ]	How many table(s) are in these images?	2	table	multi_frame_counting	scannet	46	scene0277_02	1013
[ 825, 759 ]	How many table(s) are in these images?	2	table	multi_frame_counting	scannetpp	47	578511c8a9	1013
[ 436, 327 ]	How many microwave(s) are in these images?	2	microwave	multi_frame_counting	scannet	48	scene0488_01	1013
[ 1894, 1780 ]	How many trash can(s) are in these images?	2	trash can	multi_frame_counting	scannetpp	49	ac48a9b736	1013
[ 1710, 1597 ]	How many monitor(s) are in these images?	6	monitor	multi_frame_counting	scannet	50	scene0025_01	1013
[ 742, 929 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannetpp	51	c49a8c6cff	1013
[ 4170, 2644 ]	How many picture(s) are in these images?	2	picture	multi_frame_counting	scannetpp	52	09c1414f1b	1013
[ 52, 1282 ]	How many refrigerator(s) are in these images?	2	refrigerator	multi_frame_counting	scannet	53	scene0643_00	1013
[ 1123, 3367 ]	How many table(s) are in these images?	3	table	multi_frame_counting	scannetpp	54	38d58a7a31	1013
[ 27, 121 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	55	scene0702_02	1013
[ 231, 218 ]	How many window(s) are in these images?	2	window	multi_frame_counting	scannet	56	scene0144_00	1013
[ 598, 2706 ]	How many trash can(s) are in these images?	2	trash can	multi_frame_counting	scannetpp	57	825d228aec	1013
[ 1058, 220 ]	How many radiator(s) are in these images?	2	radiator	multi_frame_counting	scannet	58	scene0095_01	1013
[ 2549, 38 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	59	scene0231_00	1013
[ 211, 51 ]	How many trash bin(s) are in these images?	3	trash bin	multi_frame_counting	scannet	60	scene0462_00	1013
[ 2413, 363 ]	How many trash can(s) are in these images?	5	trash can	multi_frame_counting	scannetpp	61	40aec5fffa	1013
[ 832, 872 ]	How many window(s) are in these images?	2	window	multi_frame_counting	scannet	62	scene0088_01	1013
[ 60, 33 ]	How many table(s) are in these images?	2	table	multi_frame_counting	scannet	63	scene0633_00	1013
[ 3896, 4870 ]	How many picture(s) are in these images?	2	picture	multi_frame_counting	scannetpp	64	09c1414f1b	1013
[ 182, 149 ]	How many pillow(s) are in these images?	2	pillow	multi_frame_counting	scannet	65	scene0222_01	1013
[ 510, 1877 ]	How many table(s) are in these images?	3	table	multi_frame_counting	scannet	66	scene0208_00	1013
[ 1301, 1175 ]	How many pan(s) are in these images?	3	pan	multi_frame_counting	scannetpp	67	0d2ee665be	1013
[ 478, 495 ]	How many towel(s) are in these images?	6	towel	multi_frame_counting	scannet	68	scene0100_00	1013
[ 931, 3523 ]	How many trash can(s) are in these images?	2	trash can	multi_frame_counting	scannetpp	69	f9f95681fd	1013
[ 740, 537 ]	How many towel(s) are in these images?	2	towel	multi_frame_counting	scannet	70	scene0246_00	1013
[ 791, 826 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	71	scene0462_00	1013
[ 448, 1265 ]	How many nightstand(s) are in these images?	2	nightstand	multi_frame_counting	scannet	72	scene0144_00	1013
[ 608, 540 ]	How many tv(s) are in these images?	2	tv	multi_frame_counting	scannet	73	scene0354_00	1013
[ 1019, 999 ]	How many monitor(s) are in these images?	3	monitor	multi_frame_counting	scannetpp	74	3f15a9266d	1013
[ 174, 170 ]	How many window(s) are in these images?	2	window	multi_frame_counting	scannet	75	scene0357_01	1013
[ 709, 163 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	76	scene0316_00	1013
[ 1408, 988 ]	How many refrigerator(s) are in these images?	2	refrigerator	multi_frame_counting	scannetpp	77	3864514494	1013
[ 1358, 1190 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannetpp	78	825d228aec	1013
[ 1396, 209 ]	How many pillow(s) are in these images?	10	pillow	multi_frame_counting	scannet	79	scene0645_00	1013
[ 123, 145 ]	How many chair(s) are in these images?	2	chair	multi_frame_counting	scannet	80	scene0356_00	1013
[ 787, 583 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannetpp	81	e7af285f7d	1013
[ 1279, 1382 ]	How many window(s) are in these images?	2	window	multi_frame_counting	scannet	82	scene0633_00	1013
[ 1873, 3612 ]	How many table(s) are in these images?	3	table	multi_frame_counting	scannetpp	83	5942004064	1013
[ 1188, 2746 ]	How many cup(s) are in these images?	5	cup	multi_frame_counting	scannetpp	84	9071e139d9	1013
[ 3488, 3477 ]	How many telephone(s) are in these images?	2	telephone	multi_frame_counting	scannetpp	85	21d970d8de	1013
[ 1215, 1284 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	86	scene0353_00	1013
[ 930, 1662 ]	How many cup(s) are in these images?	4	cup	multi_frame_counting	scannetpp	87	3f15a9266d	1013
[ 3267, 3079 ]	How many ceiling light(s) are in these images?	2	ceiling light	multi_frame_counting	scannetpp	88	e7af285f7d	1013
[ 119, 2080 ]	How many chair(s) are in these images?	2	chair	multi_frame_counting	scannet	89	scene0307_02	1013
[ 250, 762 ]	How many window(s) are in these images?	2	window	multi_frame_counting	scannet	90	scene0354_00	1013
[ 220, 390 ]	How many microwave(s) are in these images?	2	microwave	multi_frame_counting	scannet	91	scene0164_02	1013
[ 1113, 2216 ]	How many door(s) are in these images?	2	door	multi_frame_counting	scannet	92	scene0222_01	1013
[ 1174, 3149 ]	How many table(s) are in these images?	4	table	multi_frame_counting	scannet	93	scene0653_00	1013
[ 3145, 3080 ]	How many trash can(s) are in these images?	3	trash can	multi_frame_counting	scannetpp	94	f3685d06a9	1013
[ 345, 16 ]	How many table(s) are in these images?	2	table	multi_frame_counting	scannet	95	scene0246_00	1013
[ 4244, 1140 ]	How many chair(s) are in these images?	25	chair	multi_frame_counting	scannetpp	96	bde1e479ad	1013
[ 1020, 992 ]	How many backpack(s) are in these images?	2	backpack	multi_frame_counting	scannet	97	scene0164_02	1013
[ 415, 517 ]	How many bookshelf(s) are in these images?	2	bookshelf	multi_frame_counting	scannet	98	scene0203_01	1013
[ 265, 187 ]	How many pillow(s) are in these images?	3	pillow	multi_frame_counting	scannet	99	scene0474_04	1013
[ 1347, 1380 ]	How many bookshelf(s) are in these images?	2	bookshelf	multi_frame_counting	scannet	100	scene0598_02	1013

End of preview. Expand in Data Studio

No dataset card yet

Downloads last month: 9

Size of downloaded dataset files:

18.1 kB

Size of the auto-converted Parquet files:

18.1 kB

Number of rows:

500