file_name stringlengths 30 30 | object_instance_id stringlengths 12 19 | gt_object_id stringlengths 10 21 | physical_properties dict | object_bbox listlengths 4 4 | object_label stringclasses 7
values | annotation_confidence float64 0.51 0.93 |
|---|---|---|---|---|---|---|
data/video_02_frame_000279.jpg | video2_cup_2 | mug_8a2e5f | {
"mass_kg": 0.3676,
"mass_range_kg": [
0.3308,
0.4044
],
"friction_range": [
0.3,
0.5
]
} | [
789,
0,
1079,
238
] | cup | 0.8997 |
data/video_02_frame_000276.jpg | video2_cup_2 | mug_8a2e5f | {
"mass_kg": 0.3676,
"mass_range_kg": [
0.3308,
0.4044
],
"friction_range": [
0.3,
0.5
]
} | [
801,
2,
1156,
249
] | cup | 0.7807 |
data/video_02_frame_000278.jpg | video2_cup_2 | mug_8a2e5f | {
"mass_kg": 0.3676,
"mass_range_kg": [
0.3308,
0.4044
],
"friction_range": [
0.3,
0.5
]
} | [
785,
1,
1138,
233
] | cup | 0.7465 |
data/video_02_frame_000280.jpg | video2_cup_2 | mug_8a2e5f | {
"mass_kg": 0.3676,
"mass_range_kg": [
0.3308,
0.4044
],
"friction_range": [
0.3,
0.5
]
} | [
849,
3,
1133,
268
] | cup | 0.7257 |
data/video_05_frame_002342.jpg | video5_cup_7 | mug_8a2e5f | {
"mass_kg": 0.3676,
"mass_range_kg": [
0.3308,
0.4044
],
"friction_range": [
0.3,
0.5
]
} | [
688,
189,
969,
478
] | cup | 0.7215 |
data/video_01_frame_000809.jpg | video1_cup_21 | mug_81cf0a | {
"mass_kg": 0.2554,
"mass_range_kg": [
0.2299,
0.2809
],
"friction_range": [
0.3,
0.5
]
} | [
599,
232,
825,
445
] | cup | 0.8661 |
data/video_01_frame_000799.jpg | video1_cup_21 | mug_81cf0a | {
"mass_kg": 0.2554,
"mass_range_kg": [
0.2299,
0.2809
],
"friction_range": [
0.3,
0.5
]
} | [
608,
309,
837,
529
] | cup | 0.8576 |
data/video_01_frame_000797.jpg | video1_cup_21 | mug_81cf0a | {
"mass_kg": 0.2554,
"mass_range_kg": [
0.2299,
0.2809
],
"friction_range": [
0.3,
0.5
]
} | [
563,
289,
803,
504
] | cup | 0.8227 |
data/video_01_frame_000808.jpg | video1_cup_21 | mug_81cf0a | {
"mass_kg": 0.2554,
"mass_range_kg": [
0.2299,
0.2809
],
"friction_range": [
0.3,
0.5
]
} | [
594,
282,
818,
501
] | cup | 0.7961 |
data/video_01_frame_000791.jpg | video1_cup_21 | mug_81cf0a | {
"mass_kg": 0.2554,
"mass_range_kg": [
0.2299,
0.2809
],
"friction_range": [
0.3,
0.5
]
} | [
544,
278,
776,
496
] | cup | 0.7904 |
data/video_05_frame_002343.jpg | video5_cup_8 | mug_9722ea | {
"mass_kg": 0.2239,
"mass_range_kg": [
0.2015,
0.2463
],
"friction_range": [
0.3,
0.6
]
} | [
597,
231,
856,
501
] | cup | 0.8134 |
data/video_05_frame_002344.jpg | video5_cup_8 | mug_9722ea | {
"mass_kg": 0.2239,
"mass_range_kg": [
0.2015,
0.2463
],
"friction_range": [
0.3,
0.6
]
} | [
590,
241,
839,
503
] | cup | 0.7729 |
data/video_05_frame_002363.jpg | video5_cup_16 | mug_9722ea | {
"mass_kg": 0.2239,
"mass_range_kg": [
0.2015,
0.2463
],
"friction_range": [
0.3,
0.6
]
} | [
742,
196,
1063,
505
] | cup | 0.6526 |
data/video_01_frame_000818.jpg | video1_cup_24 | mug_6b0b1a | {
"mass_kg": 0.4169,
"mass_range_kg": [
0.3752,
0.4586
],
"friction_range": [
0.3,
0.5
]
} | [
701,
126,
946,
371
] | cup | 0.811 |
data/video_01_frame_000821.jpg | video1_cup_24 | mug_6b0b1a | {
"mass_kg": 0.4169,
"mass_range_kg": [
0.3752,
0.4586
],
"friction_range": [
0.3,
0.5
]
} | [
736,
162,
991,
407
] | cup | 0.7891 |
data/video_05_frame_001656.jpg | video5_cup_1 | mug_6b0b1a | {
"mass_kg": 0.4169,
"mass_range_kg": [
0.3752,
0.4586
],
"friction_range": [
0.3,
0.5
]
} | [
444,
293,
644,
527
] | cup | 0.7772 |
data/video_01_frame_000819.jpg | video1_cup_24 | mug_6b0b1a | {
"mass_kg": 0.4169,
"mass_range_kg": [
0.3752,
0.4586
],
"friction_range": [
0.3,
0.5
]
} | [
700,
118,
945,
367
] | cup | 0.7611 |
data/video_01_frame_000822.jpg | video1_cup_24 | mug_6b0b1a | {
"mass_kg": 0.4169,
"mass_range_kg": [
0.3752,
0.4586
],
"friction_range": [
0.3,
0.5
]
} | [
704,
163,
944,
410
] | cup | 0.7212 |
data/video_01_frame_000823.jpg | video1_cup_24 | mug_6b0b1a | {
"mass_kg": 0.4169,
"mass_range_kg": [
0.3752,
0.4586
],
"friction_range": [
0.3,
0.5
]
} | [
701,
147,
905,
394
] | cup | 0.7074 |
data/video_02_frame_000536.jpg | video2_cup_3 | mug_6b0b1a | {
"mass_kg": 0.4169,
"mass_range_kg": [
0.3752,
0.4586
],
"friction_range": [
0.3,
0.5
]
} | [
724,
0,
942,
231
] | cup | 0.7027 |
data/video_05_frame_001660.jpg | video5_cup_3 | mug_70fa67 | {
"mass_kg": 0.3284,
"mass_range_kg": [
0.2956,
0.3612
],
"friction_range": [
0.3,
0.5
]
} | [
655,
276,
882,
519
] | cup | 0.803 |
data/video_02_frame_002041.jpg | video2_cup_6 | mug_70fa67 | {
"mass_kg": 0.3284,
"mass_range_kg": [
0.2956,
0.3612
],
"friction_range": [
0.3,
0.5
]
} | [
639,
408,
914,
643
] | cup | 0.7812 |
data/video_05_frame_001681.jpg | video5_cup_4 | mug_70fa67 | {
"mass_kg": 0.3284,
"mass_range_kg": [
0.2956,
0.3612
],
"friction_range": [
0.3,
0.5
]
} | [
772,
226,
1056,
481
] | cup | 0.7063 |
data/video_02_frame_000774.jpg | video2_cup_4 | mug_f032e3 | {
"mass_kg": 0.3158,
"mass_range_kg": [
0.2842,
0.3474
],
"friction_range": [
0.3,
0.6
]
} | [
738,
1,
1018,
183
] | cup | 0.8012 |
data/video_01_frame_000743.jpg | video1_cup_18 | mug_ceef71 | {
"mass_kg": 0.3139,
"mass_range_kg": [
0.2825,
0.3453
],
"friction_range": [
0.3,
0.5
]
} | [
716,
257,
1060,
564
] | cup | 0.7925 |
data/video_01_frame_000742.jpg | video1_cup_18 | mug_ceef71 | {
"mass_kg": 0.3139,
"mass_range_kg": [
0.2825,
0.3453
],
"friction_range": [
0.3,
0.5
]
} | [
739,
239,
1087,
555
] | cup | 0.7244 |
data/video_05_frame_002346.jpg | video5_cup_9 | mug_ada6f8 | {
"mass_kg": 0.2964,
"mass_range_kg": [
0.2668,
0.326
],
"friction_range": [
0.3,
0.6
]
} | [
531,
75,
795,
376
] | cup | 0.792 |
data/video_02_frame_000776.jpg | video2_cup_5 | mug_ada6f8 | {
"mass_kg": 0.2964,
"mass_range_kg": [
0.2668,
0.326
],
"friction_range": [
0.3,
0.6
]
} | [
573,
2,
898,
149
] | cup | 0.7057 |
data/video_05_frame_002371.jpg | video5_cup_18 | mug_2d8ba6 | {
"mass_kg": 1.0793,
"mass_range_kg": [
0.9714,
1.1872
],
"friction_range": [
0.2,
0.4
]
} | [
667,
310,
975,
596
] | cup | 0.7556 |
data/video_01_frame_000833.jpg | video1_cup_26 | mug_492dde | {
"mass_kg": 0.297,
"mass_range_kg": [
0.2673,
0.3267
],
"friction_range": [
0.3,
0.6
]
} | [
556,
197,
773,
452
] | cup | 0.72 |
data/video_05_frame_001644.jpg | video5_cup_0 | mug_492dde | {
"mass_kg": 0.297,
"mass_range_kg": [
0.2673,
0.3267
],
"friction_range": [
0.3,
0.6
]
} | [
730,
303,
1149,
666
] | cup | 0.7084 |
data/video_01_frame_000832.jpg | video1_cup_26 | mug_492dde | {
"mass_kg": 0.297,
"mass_range_kg": [
0.2673,
0.3267
],
"friction_range": [
0.3,
0.6
]
} | [
573,
207,
774,
440
] | cup | 0.6476 |
data/video_01_frame_000813.jpg | video1_cup_23 | mug_e13ba2 | {
"mass_kg": 0.3102,
"mass_range_kg": [
0.2792,
0.3412
],
"friction_range": [
0.3,
0.6
]
} | [
1002,
39,
1279,
548
] | cup | 0.7184 |
data/video_05_frame_002357.jpg | video5_cup_13 | mug_209f09 | {
"mass_kg": 0.3,
"mass_range_kg": [
0.27,
0.33
],
"friction_range": [
0.3,
0.6
]
} | [
603,
73,
900,
469
] | cup | 0.7119 |
data/video_02_frame_000251.jpg | video2_cup_1 | mug_209f09 | {
"mass_kg": 0.3,
"mass_range_kg": [
0.27,
0.33
],
"friction_range": [
0.3,
0.6
]
} | [
811,
0,
1100,
232
] | cup | 0.6757 |
data/video_05_frame_002355.jpg | video5_cup_13 | mug_209f09 | {
"mass_kg": 0.3,
"mass_range_kg": [
0.27,
0.33
],
"friction_range": [
0.3,
0.6
]
} | [
593,
113,
841,
403
] | cup | 0.6655 |
data/video_01_frame_000345.jpg | video1_cup_14 | mug_209f09 | {
"mass_kg": 0.3,
"mass_range_kg": [
0.27,
0.33
],
"friction_range": [
0.3,
0.6
]
} | [
727,
329,
959,
563
] | cup | 0.6577 |
data/video_05_frame_002356.jpg | video5_cup_13 | mug_209f09 | {
"mass_kg": 0.3,
"mass_range_kg": [
0.27,
0.33
],
"friction_range": [
0.3,
0.6
]
} | [
587,
60,
845,
363
] | cup | 0.6544 |
data/video_01_frame_000813.jpg | video1_cup_22 | mug_37c51b | {
"mass_kg": 0.256,
"mass_range_kg": [
0.2304,
0.2816
],
"friction_range": [
0.3,
0.5
]
} | [
706,
151,
990,
387
] | cup | 0.673 |
data/video_01_frame_000211.jpg | video1_cup_12 | mug_2127a6 | {
"mass_kg": 0.3584,
"mass_range_kg": [
0.3226,
0.3942
],
"friction_range": [
0.3,
0.5
]
} | [
911,
281,
1136,
490
] | cup | 0.6624 |
data/video_02_frame_003496.jpg | video2_bowl_104 | bowl_0cc5aa | {
"mass_kg": 0.3343,
"mass_range_kg": [
0.3009,
0.3677
],
"friction_range": [
0.3,
0.5
]
} | [
729,
110,
1063,
286
] | bowl | 0.9331 |
data/video_02_frame_003054.jpg | video2_bowl_68 | bowl_0cc5aa | {
"mass_kg": 0.3343,
"mass_range_kg": [
0.3009,
0.3677
],
"friction_range": [
0.3,
0.5
]
} | [
274,
172,
529,
370
] | bowl | 0.9252 |
data/video_02_frame_003053.jpg | video2_bowl_68 | bowl_0cc5aa | {
"mass_kg": 0.3343,
"mass_range_kg": [
0.3009,
0.3677
],
"friction_range": [
0.3,
0.5
]
} | [
225,
127,
501,
329
] | bowl | 0.8943 |
data/video_02_frame_003055.jpg | video2_bowl_68 | bowl_0cc5aa | {
"mass_kg": 0.3343,
"mass_range_kg": [
0.3009,
0.3677
],
"friction_range": [
0.3,
0.5
]
} | [
282,
183,
534,
380
] | bowl | 0.8768 |
data/video_05_frame_005081.jpg | video5_bowl_223 | bowl_43c31f | {
"mass_kg": 0.4464,
"mass_range_kg": [
0.4018,
0.491
],
"friction_range": [
0.3,
0.6
]
} | [
0,
414,
505,
714
] | bowl | 0.9243 |
data/video_05_frame_005082.jpg | video5_bowl_223 | bowl_43c31f | {
"mass_kg": 0.4464,
"mass_range_kg": [
0.4018,
0.491
],
"friction_range": [
0.3,
0.6
]
} | [
0,
394,
544,
715
] | bowl | 0.91 |
data/video_05_frame_005080.jpg | video5_bowl_223 | bowl_43c31f | {
"mass_kg": 0.4464,
"mass_range_kg": [
0.4018,
0.491
],
"friction_range": [
0.3,
0.6
]
} | [
0,
400,
492,
715
] | bowl | 0.8881 |
data/video_05_frame_003479.jpg | video5_bowl_141 | bowl_43c31f | {
"mass_kg": 0.4464,
"mass_range_kg": [
0.4018,
0.491
],
"friction_range": [
0.3,
0.6
]
} | [
652,
294,
945,
548
] | bowl | 0.8797 |
data/video_05_frame_005083.jpg | video5_bowl_223 | bowl_43c31f | {
"mass_kg": 0.4464,
"mass_range_kg": [
0.4018,
0.491
],
"friction_range": [
0.3,
0.6
]
} | [
0,
302,
492,
711
] | bowl | 0.8544 |
data/video_05_frame_005079.jpg | video5_bowl_223 | bowl_43c31f | {
"mass_kg": 0.4464,
"mass_range_kg": [
0.4018,
0.491
],
"friction_range": [
0.3,
0.6
]
} | [
85,
381,
492,
713
] | bowl | 0.8383 |
data/video_02_frame_001119.jpg | video2_bowl_27 | bowl_464635 | {
"mass_kg": 0.2174,
"mass_range_kg": [
0.1957,
0.2391
],
"friction_range": [
0.3,
0.5
]
} | [
499,
0,
800,
163
] | bowl | 0.9223 |
data/video_05_frame_003479.jpg | video5_bowl_142 | bowl_4fdcd1 | {
"mass_kg": 0.4518,
"mass_range_kg": [
0.4066,
0.497
],
"friction_range": [
0.3,
0.6
]
} | [
415,
302,
650,
527
] | bowl | 0.9195 |
data/video_05_frame_003243.jpg | video5_bowl_129 | bowl_8e4825 | {
"mass_kg": 0.2414,
"mass_range_kg": [
0.2173,
0.2655
],
"friction_range": [
0.3,
0.5
]
} | [
583,
215,
853,
414
] | bowl | 0.9157 |
data/video_05_frame_002855.jpg | video5_bowl_95 | bowl_8e4825 | {
"mass_kg": 0.2414,
"mass_range_kg": [
0.2173,
0.2655
],
"friction_range": [
0.3,
0.5
]
} | [
599,
163,
925,
415
] | bowl | 0.8461 |
data/video_05_frame_004073.jpg | video5_bowl_153 | bowl_8e4825 | {
"mass_kg": 0.2414,
"mass_range_kg": [
0.2173,
0.2655
],
"friction_range": [
0.3,
0.5
]
} | [
671,
356,
975,
565
] | bowl | 0.833 |
data/video_02_frame_003487.jpg | video2_bowl_97 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
571,
108,
933,
384
] | bowl | 0.9138 |
data/video_02_frame_003058.jpg | video2_bowl_69 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
308,
173,
548,
371
] | bowl | 0.9129 |
data/video_02_frame_003489.jpg | video2_bowl_100 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
599,
74,
922,
248
] | bowl | 0.9097 |
data/video_05_frame_005051.jpg | video5_bowl_218 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
73,
351,
573,
714
] | bowl | 0.9069 |
data/video_02_frame_003492.jpg | video2_bowl_100 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
425,
60,
787,
262
] | bowl | 0.8965 |
data/video_02_frame_003493.jpg | video2_bowl_100 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
368,
72,
739,
274
] | bowl | 0.8955 |
data/video_02_frame_003494.jpg | video2_bowl_100 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
396,
78,
751,
276
] | bowl | 0.8909 |
data/video_05_frame_005052.jpg | video5_bowl_218 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
62,
297,
572,
707
] | bowl | 0.8674 |
data/video_02_frame_003491.jpg | video2_bowl_100 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
491,
27,
859,
230
] | bowl | 0.8621 |
data/video_05_frame_005050.jpg | video5_bowl_218 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
118,
288,
549,
669
] | bowl | 0.8499 |
data/video_02_frame_003052.jpg | video2_bowl_67 | bowl_bb6324 | {
"mass_kg": 0.3016,
"mass_range_kg": [
0.2714,
0.3318
],
"friction_range": [
0.3,
0.5
]
} | [
316,
56,
585,
247
] | bowl | 0.8397 |
data/video_02_frame_003486.jpg | video2_bowl_95 | bowl_191848 | {
"mass_kg": 0.4602,
"mass_range_kg": [
0.4142,
0.5062
],
"friction_range": [
0.3,
0.5
]
} | [
632,
121,
1073,
462
] | bowl | 0.9117 |
data/video_05_frame_001482.jpg | video5_bowl_78 | bowl_191848 | {
"mass_kg": 0.4602,
"mass_range_kg": [
0.4142,
0.5062
],
"friction_range": [
0.3,
0.5
]
} | [
868,
26,
1183,
208
] | bowl | 0.8601 |
data/video_05_frame_001488.jpg | video5_bowl_78 | bowl_191848 | {
"mass_kg": 0.4602,
"mass_range_kg": [
0.4142,
0.5062
],
"friction_range": [
0.3,
0.5
]
} | [
865,
69,
1180,
261
] | bowl | 0.8569 |
data/video_05_frame_001486.jpg | video5_bowl_78 | bowl_191848 | {
"mass_kg": 0.4602,
"mass_range_kg": [
0.4142,
0.5062
],
"friction_range": [
0.3,
0.5
]
} | [
869,
53,
1190,
244
] | bowl | 0.8469 |
data/video_02_frame_003488.jpg | video2_bowl_99 | bowl_191848 | {
"mass_kg": 0.4602,
"mass_range_kg": [
0.4142,
0.5062
],
"friction_range": [
0.3,
0.5
]
} | [
337,
134,
662,
419
] | bowl | 0.8455 |
data/video_05_frame_003244.jpg | video5_bowl_130 | bowl_0dc32d | {
"mass_kg": 0.2187,
"mass_range_kg": [
0.1968,
0.2406
],
"friction_range": [
0.3,
0.6
]
} | [
749,
266,
1057,
498
] | bowl | 0.899 |
data/video_03_frame_000818.jpg | video3_bowl_3 | bowl_0dc32d | {
"mass_kg": 0.2187,
"mass_range_kg": [
0.1968,
0.2406
],
"friction_range": [
0.3,
0.6
]
} | [
313,
145,
557,
400
] | bowl | 0.8427 |
data/video_02_frame_003491.jpg | video2_bowl_102 | bowl_920788 | {
"mass_kg": 0.6958,
"mass_range_kg": [
0.6262,
0.7654
],
"friction_range": [
0.3,
0.5
]
} | [
0,
113,
322,
309
] | bowl | 0.8989 |
data/video_02_frame_003490.jpg | video2_bowl_101 | bowl_ab24a2 | {
"mass_kg": 0.1607,
"mass_range_kg": [
0.1446,
0.1768
],
"friction_range": [
0.3,
0.5
]
} | [
0,
302,
535,
714
] | bowl | 0.8963 |
data/video_02_frame_003118.jpg | video2_bowl_75 | bowl_ab24a2 | {
"mass_kg": 0.1607,
"mass_range_kg": [
0.1446,
0.1768
],
"friction_range": [
0.3,
0.5
]
} | [
475,
29,
1207,
537
] | bowl | 0.8375 |
data/video_02_frame_003059.jpg | video2_bowl_70 | bowl_8a72b4 | {
"mass_kg": 0.1521,
"mass_range_kg": [
0.1369,
0.1673
],
"friction_range": [
0.3,
0.5
]
} | [
191,
219,
433,
424
] | bowl | 0.896 |
data/video_02_frame_003051.jpg | video2_bowl_66 | bowl_af73c9 | {
"mass_kg": 0.3973,
"mass_range_kg": [
0.3576,
0.437
],
"friction_range": [
0.3,
0.6
]
} | [
179,
78,
501,
298
] | bowl | 0.8839 |
data/video_05_frame_005071.jpg | video5_bowl_221 | bowl_5a7101 | {
"mass_kg": 0.3879,
"mass_range_kg": [
0.3491,
0.4267
],
"friction_range": [
0.3,
0.5
]
} | [
246,
348,
647,
694
] | bowl | 0.862 |
data/video_02_frame_000571.jpg | video2_bowl_15 | bowl_e22574 | {
"mass_kg": 0.4162,
"mass_range_kg": [
0.3746,
0.4578
],
"friction_range": [
0.3,
0.5
]
} | [
426,
53,
755,
278
] | bowl | 0.8345 |
data/video_01_frame_000168.jpg | video1_wine glass_0 | drinking_glass_7123b1 | {
"mass_kg": 0.0908,
"mass_range_kg": [
0.0817,
0.0999
],
"friction_range": [
0.3,
0.5
]
} | [
795,
2,
1113,
277
] | wine glass | 0.5486 |
data/video_05_frame_002619.jpg | video5_wine glass_0 | drinking_glass_db72f1 | {
"mass_kg": 0.2414,
"mass_range_kg": [
0.2173,
0.2655
],
"friction_range": [
0.3,
0.5
]
} | [
856,
449,
1039,
715
] | wine glass | 0.6121 |
data/video_01_frame_000377.jpg | video1_spoon_0 | spoon_115c94 | {
"mass_kg": 0.0044,
"mass_range_kg": [
0.004,
0.0048
],
"friction_range": [
0.4,
0.7
]
} | [
788,
286,
1102,
535
] | spoon | 0.6816 |
data/video_02_frame_000101.jpg | video2_spoon_0 | spoon_1e93db | {
"mass_kg": 0.0043,
"mass_range_kg": [
0.0039,
0.0047
],
"friction_range": [
0.3,
0.5
]
} | [
864,
269,
1279,
582
] | spoon | 0.5467 |
data/video_02_frame_000732.jpg | video2_spoon_1 | spoon_710bf5 | {
"mass_kg": 0.0306,
"mass_range_kg": [
0.0275,
0.0337
],
"friction_range": [
0.2,
0.4
]
} | [
901,
257,
1192,
487
] | spoon | 0.5753 |
data/video_02_frame_003134.jpg | video2_spoon_2 | spoon_710bf5 | {
"mass_kg": 0.0306,
"mass_range_kg": [
0.0275,
0.0337
],
"friction_range": [
0.2,
0.4
]
} | [
420,
339,
698,
563
] | spoon | 0.6364 |
data/video_05_frame_001561.jpg | video5_spoon_1 | spoon_710bf5 | {
"mass_kg": 0.0306,
"mass_range_kg": [
0.0275,
0.0337
],
"friction_range": [
0.2,
0.4
]
} | [
911,
248,
1162,
573
] | spoon | 0.8283 |
data/video_05_frame_000477.jpg | video5_spoon_0 | spoon_659d5f | {
"mass_kg": 0.0426,
"mass_range_kg": [
0.0383,
0.0469
],
"friction_range": [
0.2,
0.4
]
} | [
316,
286,
640,
447
] | spoon | 0.5223 |
data/video_05_frame_003633.jpg | video5_spoon_9 | spoon_659d5f | {
"mass_kg": 0.0426,
"mass_range_kg": [
0.0383,
0.0469
],
"friction_range": [
0.2,
0.4
]
} | [
230,
447,
553,
715
] | spoon | 0.6761 |
data/video_05_frame_001983.jpg | video5_spoon_2 | spoon_03def9 | {
"mass_kg": 0.006,
"mass_range_kg": [
0.0054,
0.0066
],
"friction_range": [
0.3,
0.5
]
} | [
296,
398,
549,
716
] | spoon | 0.5612 |
data/video_05_frame_002388.jpg | video5_spoon_4 | spoon_03def9 | {
"mass_kg": 0.006,
"mass_range_kg": [
0.0054,
0.0066
],
"friction_range": [
0.3,
0.5
]
} | [
411,
206,
700,
419
] | spoon | 0.5142 |
data/video_05_frame_002365.jpg | video5_spoon_3 | spoon_72b58d | {
"mass_kg": 0.0352,
"mass_range_kg": [
0.0317,
0.0387
],
"friction_range": [
0.2,
0.4
]
} | [
409,
187,
686,
388
] | spoon | 0.5462 |
data/video_05_frame_003108.jpg | video5_spoon_7 | spoon_72b58d | {
"mass_kg": 0.0352,
"mass_range_kg": [
0.0317,
0.0387
],
"friction_range": [
0.2,
0.4
]
} | [
4,
252,
378,
475
] | spoon | 0.5281 |
data/video_05_frame_002494.jpg | video5_spoon_5 | spoon_3040cd | {
"mass_kg": 0.0237,
"mass_range_kg": [
0.0213,
0.0261
],
"friction_range": [
0.2,
0.4
]
} | [
305,
267,
572,
711
] | spoon | 0.5693 |
data/video_05_frame_002496.jpg | video5_spoon_6 | spoon_3e46d5 | {
"mass_kg": 0.003,
"mass_range_kg": [
0.0027,
0.0033
],
"friction_range": [
0.4,
0.7
]
} | [
279,
256,
570,
706
] | spoon | 0.6417 |
data/video_05_frame_003110.jpg | video5_spoon_8 | spoon_f7b2de | {
"mass_kg": 0.0039,
"mass_range_kg": [
0.0035,
0.0043
],
"friction_range": [
0.4,
0.7
]
} | [
11,
405,
532,
700
] | spoon | 0.5538 |
data/video_05_frame_001303.jpg | video5_knife_2 | knife_247fc2 | {
"mass_kg": 0.0198,
"mass_range_kg": [
0.0178,
0.0218
],
"friction_range": [
0.2,
0.4
]
} | [
401,
395,
595,
661
] | knife | 0.9205 |
data/video_02_frame_001200.jpg | video2_knife_7 | knife_247fc2 | {
"mass_kg": 0.0198,
"mass_range_kg": [
0.0178,
0.0218
],
"friction_range": [
0.2,
0.4
]
} | [
947,
299,
1211,
615
] | knife | 0.672 |
data/video_02_frame_003059.jpg | video2_knife_12 | knife_247fc2 | {
"mass_kg": 0.0198,
"mass_range_kg": [
0.0178,
0.0218
],
"friction_range": [
0.2,
0.4
]
} | [
717,
353,
1272,
620
] | knife | 0.6176 |
data/video_02_frame_001198.jpg | video2_knife_6 | knife_32acbc | {
"mass_kg": 0.0022,
"mass_range_kg": [
0.002,
0.0024
],
"friction_range": [
0.3,
0.5
]
} | [
188,
374,
405,
713
] | knife | 0.9149 |
End of preview. Expand in Data Studio
YAML Metadata Warning:The task_categories "physics-reasoning" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Canonical Object-Physics Dataset (v3.0)
This dataset is designed for training and evaluating Vision-Language Models (VLMs) on physical property estimation tasks. It contains 216 high-quality, balanced annotations mapping visual instances to their ground-truth physical properties (mass and friction).
Dataset Summary
- Total Samples: 216 (Cleaned & Balanced)
- Source Videos: 5 YouTube kitchen/cooking videos
- Unique Object Instances: 162
- Unique GT Object IDs: 78
- Category Diversity: 7 labels (bottle, bowl, cup, fork, knife, spoon, wine glass)
- Mass Range: 0.0019 kg — 1.6084 kg
- Mass Ratio: 846.5x (Exceptional diversity for physical reasoning)
Data Structure
The dataset follows the Hugging Face imagefolder format.
data/: Contains all image frames (renamed asvideo_XX_frame_XXXXXX.jpg).metadata.jsonl: Contains annotations for each image.
Metadata Fields
| Field | Type | Description |
|---|---|---|
file_name |
string |
Relative path to the image file. |
object_instance_id |
string |
Unique tracking ID for the instance in the video. |
gt_object_id |
string |
ID matching the physical_ground_truth_final.json. |
physical_properties |
dict |
Contains mass_kg, mass_range_kg, and friction_range. |
object_bbox |
list |
Bounding box in [x1, y1, x2, y2] format. |
object_label |
string |
Text category label exported from YOLO/GT. |
annotation_confidence |
float |
YOLOv8n detection confidence. |
Stats by Label
| Label | Count |
|---|---|
| cup | 40 |
| bowl | 40 |
| knife | 40 |
| bottle | 40 |
| fork | 40 |
| spoon | 14 |
| wine glass | 2 |
Quality & Balancing
This dataset has been processed through a multi-stage cleaning pipeline:
- Deduplication: Maximum of 5 temporal frames per unique object instance, selecting for highest detection confidence.
- Label Balancing: Capped at 40 samples per category to prevent majority class bias (standardizing on
bottle,bowl,cup,fork,knife). - Diversity Audit: Verified that the max/min mass ratio exceeds 3x (Actual: 846x).
Usage
from datasets import load_dataset
dataset = load_dataset("your-username/phys-vlm-dataset", split="train")
print(dataset[0])
Dataset Generation
Created sequentially on an Apple M2 Air (CPU-only) using YOLOv8n and stable IoU tracking. Ground-truth properties derived from a canonical household object database.
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