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video_id
large_stringclasses
1 value
frame_index
int64
0
2.79k
timestamp_sec
float64
0
2.79k
class_label
large_stringclasses
20 values
confidence_score
float64
0.3
0.98
x1
float64
0
1.87k
y1
float64
0
969
x2
float64
65.2
1.92k
y2
float64
83.9
1.08k
bounding_box
listlengths
4
4
YcvECxtXoxQ
0
0
front_right_door
0.350708
255.230804
251.422485
614.907715
791.814026
[ 255.23080444335938, 251.4224853515625, 614.90771484375, 791.8140258789062 ]
YcvECxtXoxQ
0
0
right_mirror
0.362345
644.178589
290.527527
755.719849
432.946136
[ 644.1785888671875, 290.52752685546875, 755.7198486328125, 432.9461364746094 ]
YcvECxtXoxQ
0
0
wheel
0.941561
154.374802
616.413086
1,261.351685
1,049.062988
[ 154.3748016357422, 616.4130859375, 1261.3516845703125, 1049.06298828125 ]
YcvECxtXoxQ
0
0
wheel
0.814213
120.596741
660.375854
1,299.102173
1,044.298096
[ 120.59674072265625, 660.3758544921875, 1299.1021728515625, 1044.298095703125 ]
YcvECxtXoxQ
0
0
wheel
0.62122
146.157898
608.800049
1,292.019409
1,052.353027
[ 146.15789794921875, 608.800048828125, 1292.0194091796875, 1052.35302734375 ]
YcvECxtXoxQ
0
0
wheel
0.574453
155.617081
621.584412
1,245.258179
1,047.638306
[ 155.61708068847656, 621.5844116210938, 1245.2581787109375, 1047.6383056640625 ]
YcvECxtXoxQ
0
0
wheel
0.516626
980.101135
697.871582
1,872.883667
1,057.846069
[ 980.1011352539062, 697.87158203125, 1872.8836669921875, 1057.8460693359375 ]
YcvECxtXoxQ
0
0
wheel
0.443337
979.996399
701.974915
1,869.47644
1,050.969727
[ 979.9963989257812, 701.9749145507812, 1869.4764404296875, 1050.9697265625 ]
YcvECxtXoxQ
1
1
front_glass
0.416896
820.643005
283.687683
1,396.042969
462.249146
[ 820.6430053710938, 283.68768310546875, 1396.04296875, 462.2491455078125 ]
YcvECxtXoxQ
1
1
front_right_door
0.429444
254.357819
251.873764
612.863831
793.53302
[ 254.35781860351562, 251.87376403808594, 612.8638305664062, 793.5330200195312 ]
YcvECxtXoxQ
1
1
front_right_door
0.308566
561.883118
259.109863
943.421265
844.997864
[ 561.8831176757812, 259.10986328125, 943.4212646484375, 844.9978637695312 ]
YcvECxtXoxQ
1
1
left_mirror
0.329925
644.493774
291.443024
755.367065
432.520782
[ 644.4937744140625, 291.4430236816406, 755.3670654296875, 432.5207824707031 ]
YcvECxtXoxQ
1
1
right_mirror
0.39076
644.493774
291.443024
755.367065
432.520782
[ 644.4937744140625, 291.4430236816406, 755.3670654296875, 432.5207824707031 ]
YcvECxtXoxQ
1
1
wheel
0.941596
155.163116
617.400146
1,261.611572
1,048.735107
[ 155.16311645507812, 617.400146484375, 1261.611572265625, 1048.735107421875 ]
YcvECxtXoxQ
1
1
wheel
0.822565
121.969574
659.319946
1,300.476807
1,044.274292
[ 121.96957397460938, 659.3199462890625, 1300.476806640625, 1044.2742919921875 ]
YcvECxtXoxQ
1
1
wheel
0.560275
155.886612
623.638
1,245.358887
1,046.937744
[ 155.88661193847656, 623.6380004882812, 1245.35888671875, 1046.937744140625 ]
YcvECxtXoxQ
1
1
wheel
0.544862
143.301636
608.661682
1,292.266113
1,050.307617
[ 143.3016357421875, 608.6616821289062, 1292.26611328125, 1050.3076171875 ]
YcvECxtXoxQ
1
1
wheel
0.540764
979.60498
694.813721
1,871.120361
1,058.57666
[ 979.60498046875, 694.813720703125, 1871.120361328125, 1058.57666015625 ]
YcvECxtXoxQ
1
1
wheel
0.499415
979.518127
701.537354
1,865.756104
1,051.332275
[ 979.5181274414062, 701.537353515625, 1865.756103515625, 1051.332275390625 ]
YcvECxtXoxQ
2
2
front_glass
0.39856
817.638245
280.188049
1,400.696777
461.403625
[ 817.6382446289062, 280.18804931640625, 1400.69677734375, 461.40362548828125 ]
YcvECxtXoxQ
2
2
front_right_door
0.425844
254.608307
251.725311
614.656067
793.54541
[ 254.60830688476562, 251.72531127929688, 614.6560668945312, 793.54541015625 ]
YcvECxtXoxQ
2
2
left_mirror
0.332507
646.003357
291.041382
754.052551
429.688965
[ 646.0033569335938, 291.0413818359375, 754.0525512695312, 429.68896484375 ]
YcvECxtXoxQ
2
2
right_mirror
0.384023
646.003357
291.041382
754.052551
429.688965
[ 646.0033569335938, 291.0413818359375, 754.0525512695312, 429.68896484375 ]
YcvECxtXoxQ
2
2
wheel
0.948468
155.39534
615.807007
1,261.630493
1,050.528076
[ 155.3953399658203, 615.8070068359375, 1261.6304931640625, 1050.528076171875 ]
YcvECxtXoxQ
2
2
wheel
0.855308
124.772003
659.641357
1,302.122681
1,045.509033
[ 124.77200317382812, 659.641357421875, 1302.1226806640625, 1045.509033203125 ]
YcvECxtXoxQ
2
2
wheel
0.572703
978.339172
703.338501
1,871.226685
1,056.72998
[ 978.3391723632812, 703.3385009765625, 1871.2266845703125, 1056.72998046875 ]
YcvECxtXoxQ
2
2
wheel
0.568477
155.323334
624.247375
1,246.265503
1,047.262817
[ 155.32333374023438, 624.2473754882812, 1246.2655029296875, 1047.2628173828125 ]
YcvECxtXoxQ
2
2
wheel
0.511516
143.635895
606.393372
1,291.762817
1,052.358521
[ 143.63589477539062, 606.3933715820312, 1291.7628173828125, 1052.3585205078125 ]
YcvECxtXoxQ
2
2
wheel
0.470481
979.808899
703.996765
1,870.136108
1,049.620361
[ 979.8088989257812, 703.9967651367188, 1870.1361083984375, 1049.620361328125 ]
YcvECxtXoxQ
3
3
front_right_door
0.420613
254.685608
251.994751
613.891663
793.693787
[ 254.68560791015625, 251.9947509765625, 613.8916625976562, 793.6937866210938 ]
YcvECxtXoxQ
3
3
front_right_door
0.311063
561.497498
259.190399
940.266907
838.682922
[ 561.4974975585938, 259.1903991699219, 940.2669067382812, 838.6829223632812 ]
YcvECxtXoxQ
3
3
left_mirror
0.325797
645.512268
290.997711
754.164429
429.140472
[ 645.5122680664062, 290.9977111816406, 754.1644287109375, 429.1404724121094 ]
YcvECxtXoxQ
3
3
right_mirror
0.373055
645.512268
290.997711
754.164429
429.140472
[ 645.5122680664062, 290.9977111816406, 754.1644287109375, 429.1404724121094 ]
YcvECxtXoxQ
3
3
wheel
0.944774
155.376343
616.429077
1,262.442871
1,050.386841
[ 155.3763427734375, 616.4290771484375, 1262.44287109375, 1050.3868408203125 ]
YcvECxtXoxQ
3
3
wheel
0.850668
124.984039
660.209839
1,302.156982
1,045.614258
[ 124.98403930664062, 660.2098388671875, 1302.156982421875, 1045.6142578125 ]
YcvECxtXoxQ
3
3
wheel
0.573822
155.743469
624.388367
1,246.233765
1,047.25415
[ 155.74346923828125, 624.3883666992188, 1246.2337646484375, 1047.254150390625 ]
YcvECxtXoxQ
3
3
wheel
0.565716
979.356628
702.809875
1,873.535889
1,056.43335
[ 979.3566284179688, 702.8098754882812, 1873.535888671875, 1056.433349609375 ]
YcvECxtXoxQ
3
3
wheel
0.525485
144.022614
607.162964
1,291.684204
1,051.811768
[ 144.02261352539062, 607.1629638671875, 1291.6842041015625, 1051.811767578125 ]
YcvECxtXoxQ
3
3
wheel
0.447508
980.067993
703.892578
1,874.144897
1,049.53186
[ 980.0679931640625, 703.892578125, 1874.1448974609375, 1049.5318603515625 ]
YcvECxtXoxQ
4
4
front_bumper
0.354349
605.323608
378.175964
1,682.373779
834.313171
[ 605.3236083984375, 378.17596435546875, 1682.373779296875, 834.3131713867188 ]
YcvECxtXoxQ
4
4
front_glass
0.611862
666.876709
154.12944
1,353.422363
330.883728
[ 666.876708984375, 154.1294403076172, 1353.42236328125, 330.88372802734375 ]
YcvECxtXoxQ
4
4
right_mirror
0.361671
474.668518
259.667267
572.47937
342.684631
[ 474.66851806640625, 259.6672668457031, 572.4793701171875, 342.68463134765625 ]
YcvECxtXoxQ
4
4
right_mirror
0.306067
1,337.344482
284.246338
1,415.140503
334.75827
[ 1337.344482421875, 284.246337890625, 1415.1405029296875, 334.7582702636719 ]
YcvECxtXoxQ
4
4
wheel
0.506732
543.528198
510.819946
739.009338
965.891846
[ 543.5281982421875, 510.8199462890625, 739.0093383789062, 965.891845703125 ]
YcvECxtXoxQ
5
5
front_bumper
0.575468
600.855896
378.331177
1,661.689819
834.996704
[ 600.8558959960938, 378.3311767578125, 1661.6898193359375, 834.9967041015625 ]
YcvECxtXoxQ
5
5
front_glass
0.316548
628.637329
161.906891
1,318.005981
338.447205
[ 628.6373291015625, 161.90689086914062, 1318.0059814453125, 338.44720458984375 ]
YcvECxtXoxQ
5
5
left_mirror
0.563491
435.892487
262.700104
543.498779
358.950348
[ 435.8924865722656, 262.7001037597656, 543.498779296875, 358.9503479003906 ]
YcvECxtXoxQ
5
5
left_mirror
0.401106
1,297.305054
290.664154
1,361.888184
341.665161
[ 1297.3050537109375, 290.6641540527344, 1361.88818359375, 341.6651611328125 ]
YcvECxtXoxQ
5
5
right_mirror
0.608983
435.892487
262.700104
543.498779
358.950348
[ 435.8924865722656, 262.7001037597656, 543.498779296875, 358.9503479003906 ]
YcvECxtXoxQ
5
5
right_mirror
0.477066
1,297.305054
290.664154
1,361.888184
341.665161
[ 1297.3050537109375, 290.6641540527344, 1361.88818359375, 341.6651611328125 ]
YcvECxtXoxQ
5
5
wheel
0.319062
375.623199
475.216858
484.941193
808.068481
[ 375.6231994628906, 475.21685791015625, 484.9411926269531, 808.0684814453125 ]
YcvECxtXoxQ
6
6
front_bumper
0.405318
622.5177
404.404083
1,657.28772
825.003723
[ 622.5177001953125, 404.4040832519531, 1657.2877197265625, 825.0037231445312 ]
YcvECxtXoxQ
6
6
left_mirror
0.674917
415.806549
262.821503
524.42395
351.049896
[ 415.8065490722656, 262.8215026855469, 524.4239501953125, 351.0498962402344 ]
YcvECxtXoxQ
6
6
left_mirror
0.316953
1,254.265503
289.205078
1,327.719849
340.759827
[ 1254.2655029296875, 289.205078125, 1327.7198486328125, 340.75982666015625 ]
YcvECxtXoxQ
6
6
right_mirror
0.552693
415.806549
262.821503
524.42395
351.049896
[ 415.8065490722656, 262.8215026855469, 524.4239501953125, 351.0498962402344 ]
YcvECxtXoxQ
6
6
right_mirror
0.326013
1,254.265503
289.205078
1,327.719849
340.759827
[ 1254.2655029296875, 289.205078125, 1327.7198486328125, 340.75982666015625 ]
YcvECxtXoxQ
6
6
wheel
0.400202
316.640747
503.825958
441.040863
808.210571
[ 316.6407470703125, 503.8259582519531, 441.0408630371094, 808.2105712890625 ]
YcvECxtXoxQ
6
6
wheel
0.364507
529.095154
536.059326
728.727051
974.862732
[ 529.0951538085938, 536.059326171875, 728.72705078125, 974.8627319335938 ]
YcvECxtXoxQ
7
7
back_bumper
0.640738
128.220657
442.651794
1,268.688477
938.150452
[ 128.2206573486328, 442.65179443359375, 1268.6884765625, 938.1504516601562 ]
YcvECxtXoxQ
7
7
left_mirror
0.771963
1,554.43042
374.354492
1,632.674927
451.353821
[ 1554.430419921875, 374.3544921875, 1632.6749267578125, 451.35382080078125 ]
YcvECxtXoxQ
7
7
right_mirror
0.849171
1,554.43042
374.354492
1,632.674927
451.353821
[ 1554.430419921875, 374.3544921875, 1632.6749267578125, 451.35382080078125 ]
YcvECxtXoxQ
7
7
wheel
0.606556
276.472717
841.694885
1,345.773682
1,053.476929
[ 276.47271728515625, 841.6948852539062, 1345.773681640625, 1053.4769287109375 ]
YcvECxtXoxQ
7
7
wheel
0.469845
1,545.325562
599.18042
1,678.488281
873.181702
[ 1545.3255615234375, 599.180419921875, 1678.48828125, 873.1817016601562 ]
YcvECxtXoxQ
7
7
wheel
0.358518
1,189.016235
574.492371
1,689.553345
1,075.968872
[ 1189.0162353515625, 574.4923706054688, 1689.5533447265625, 1075.9688720703125 ]
YcvECxtXoxQ
7
7
wheel
0.340482
301.528229
869.548157
1,288.207275
1,043.138428
[ 301.5282287597656, 869.5481567382812, 1288.207275390625, 1043.138427734375 ]
YcvECxtXoxQ
7
7
wheel
0.313198
1,133.774414
643.567627
1,401.775269
1,074.418335
[ 1133.7744140625, 643.567626953125, 1401.7752685546875, 1074.4183349609375 ]
YcvECxtXoxQ
8
8
back_bumper
0.500099
129.727341
418.537994
1,283.117188
900.609619
[ 129.7273406982422, 418.5379943847656, 1283.1171875, 900.609619140625 ]
YcvECxtXoxQ
8
8
back_bumper
0.351351
111.607864
389.455444
1,251.29834
891.798035
[ 111.60786437988281, 389.4554443359375, 1251.29833984375, 891.7980346679688 ]
YcvECxtXoxQ
8
8
back_glass
0.831987
234.205811
58.499989
946.502625
363.694458
[ 234.205810546875, 58.4999885559082, 946.5026245117188, 363.6944580078125 ]
YcvECxtXoxQ
8
8
left_mirror
0.528131
1,550.908081
360.634949
1,631.011353
440.834045
[ 1550.9080810546875, 360.63494873046875, 1631.0113525390625, 440.83404541015625 ]
YcvECxtXoxQ
8
8
right_mirror
0.680556
1,550.908081
360.634949
1,631.011353
440.834045
[ 1550.9080810546875, 360.63494873046875, 1631.0113525390625, 440.83404541015625 ]
YcvECxtXoxQ
8
8
right_mirror
0.565599
1,556.276123
360.235107
1,628.983521
436.915741
[ 1556.276123046875, 360.235107421875, 1628.9835205078125, 436.9157409667969 ]
YcvECxtXoxQ
8
8
tailgate
0.348119
172.870529
286.175354
925.140381
693.353455
[ 172.8705291748047, 286.17535400390625, 925.140380859375, 693.3534545898438 ]
YcvECxtXoxQ
8
8
trunk
0.460512
172.870529
286.175354
925.140381
693.353455
[ 172.8705291748047, 286.17535400390625, 925.140380859375, 693.3534545898438 ]
YcvECxtXoxQ
8
8
wheel
0.742523
1,543.958984
580.975342
1,675.325684
863.520081
[ 1543.958984375, 580.975341796875, 1675.32568359375, 863.5200805664062 ]
YcvECxtXoxQ
8
8
wheel
0.658261
271.723846
821.61731
1,376.56665
1,066.434326
[ 271.7238464355469, 821.6173095703125, 1376.566650390625, 1066.434326171875 ]
YcvECxtXoxQ
8
8
wheel
0.519261
238.645569
726.047058
1,400.385254
1,080
[ 238.64556884765625, 726.0470581054688, 1400.38525390625, 1080 ]
YcvECxtXoxQ
8
8
wheel
0.339896
287.246887
841.616821
1,312.696655
1,051.20813
[ 287.24688720703125, 841.6168212890625, 1312.6966552734375, 1051.2081298828125 ]
YcvECxtXoxQ
9
9
back_bumper
0.390335
132.963181
366.033051
1,251.070923
856.391296
[ 132.9631805419922, 366.0330505371094, 1251.0709228515625, 856.3912963867188 ]
YcvECxtXoxQ
9
9
back_glass
0.56683
229.755203
23.900242
955.296631
340.70105
[ 229.7552032470703, 23.90024185180664, 955.296630859375, 340.7010498046875 ]
YcvECxtXoxQ
9
9
left_mirror
0.553604
1,549.422729
346.230743
1,628.886841
424.378082
[ 1549.4227294921875, 346.2307434082031, 1628.8868408203125, 424.3780822753906 ]
YcvECxtXoxQ
9
9
right_mirror
0.752347
1,549.422729
346.230743
1,628.886841
424.378082
[ 1549.4227294921875, 346.2307434082031, 1628.8868408203125, 424.3780822753906 ]
YcvECxtXoxQ
9
9
tailgate
0.349494
173.315826
293.233032
909.957458
664.834045
[ 173.31582641601562, 293.2330322265625, 909.9574584960938, 664.8340454101562 ]
YcvECxtXoxQ
9
9
trunk
0.338463
173.315826
293.233032
909.957458
664.834045
[ 173.31582641601562, 293.2330322265625, 909.9574584960938, 664.8340454101562 ]
YcvECxtXoxQ
9
9
wheel
0.627837
290.228027
787.791199
1,363.091919
1,066.958252
[ 290.22802734375, 787.7911987304688, 1363.0919189453125, 1066.958251953125 ]
YcvECxtXoxQ
9
9
wheel
0.515837
1,541.967773
563.454224
1,671.777466
853.308838
[ 1541.9677734375, 563.4542236328125, 1671.7774658203125, 853.308837890625 ]
YcvECxtXoxQ
9
9
wheel
0.43993
303.715302
821.378906
1,307.19397
1,055.972168
[ 303.7153015136719, 821.37890625, 1307.1939697265625, 1055.97216796875 ]
YcvECxtXoxQ
9
9
wheel
0.354507
261.369354
709.114563
1,398.985962
1,071.689209
[ 261.3693542480469, 709.1145629882812, 1398.9859619140625, 1071.689208984375 ]
YcvECxtXoxQ
15
15
back_glass
0.551929
1,471.981934
196.90123
1,920
482.430817
[ 1471.98193359375, 196.90122985839844, 1920, 482.4308166503906 ]
YcvECxtXoxQ
20
20
back_left_light
0.30895
77.313332
312.481232
168.500793
483.556671
[ 77.3133316040039, 312.4812316894531, 168.50079345703125, 483.5566711425781 ]
YcvECxtXoxQ
20
20
front_glass
0.395652
822.267029
289.869324
1,410.014404
464.659424
[ 822.2670288085938, 289.86932373046875, 1410.014404296875, 464.659423828125 ]
YcvECxtXoxQ
20
20
front_right_door
0.374873
253.033737
251.137894
624.291382
799.799194
[ 253.0337371826172, 251.1378936767578, 624.2913818359375, 799.7991943359375 ]
YcvECxtXoxQ
20
20
hood
0.333731
1,050.472046
460.41626
1,821.811523
561.522644
[ 1050.4720458984375, 460.416259765625, 1821.8115234375, 561.5226440429688 ]
YcvECxtXoxQ
20
20
right_mirror
0.326331
646.215149
292.81723
754.028931
432.201874
[ 646.2151489257812, 292.8172302246094, 754.0289306640625, 432.2018737792969 ]
YcvECxtXoxQ
20
20
wheel
0.904591
153.021744
616.650146
1,265.334351
1,053.391968
[ 153.02174377441406, 616.650146484375, 1265.3343505859375, 1053.3919677734375 ]
YcvECxtXoxQ
20
20
wheel
0.861194
119.557755
659.59613
1,299.46228
1,045.548706
[ 119.55775451660156, 659.5961303710938, 1299.4622802734375, 1045.5487060546875 ]
YcvECxtXoxQ
20
20
wheel
0.575271
979.393799
707.012024
1,878.959473
1,059.152344
[ 979.393798828125, 707.0120239257812, 1878.95947265625, 1059.15234375 ]
YcvECxtXoxQ
20
20
wheel
0.469115
154.467499
624.039978
1,249.972534
1,052.95105
[ 154.46749877929688, 624.0399780273438, 1249.9725341796875, 1052.9510498046875 ]
YcvECxtXoxQ
20
20
wheel
0.469009
979.445068
699.948181
1,877.826782
1,052.063599
[ 979.445068359375, 699.9481811523438, 1877.8267822265625, 1052.0635986328125 ]
YcvECxtXoxQ
20
20
wheel
0.416413
143.838181
609.333496
1,293.108032
1,059.952881
[ 143.8381805419922, 609.33349609375, 1293.1080322265625, 1059.952880859375 ]
End of preview. Expand in Data Studio

NYU CS-GY 6613 Spring 2026 - Ultralytics YOLO26 Model Car Parts Video Detection

Author: Mariia Onokhina (mo2851)

This dataset contains detected car parts from a 2026 Toyota RAV Review video using a Ultralytics YOLO26 model trained on the car parts segmentation dataset.

The inference confidence threshold: 0.3.


Source Video

www.youtube.com/watch?v=YcvECxtXoxQ

The video was downloaded at 1080p resolution and sampled at 1 frame per second to create a sequence of frames for detection.


Dataset Description

Each row in the dataset corresponds to a single detection of a car part outputted by the Ultralytics YOLO26 model in a video frame.

Since multiple objects of the same class may appear in a frame (ex: wheels), duplicate class labels at the same timestamp with different confidence scores may appear.

The data is stored in Parquet format.


Fields

  • video_id (string): The ID of the source video.
  • frame_index (int): The 0-based frame index (1 frame per second sampling).
  • timestamp_sec (float): The second where each car part was detected.
  • class_label (string): The car part that was detected in the frame. There are duplicate class labels at the same frame because there are multiple detections of the same object with different confidence scores.
  • confidence_score (float): Model confidence score.
  • x1 (float): Bounding box left coordinate.
  • y1 (float): Bounding box top coordinate.
  • x2 (float): Bounding box right coordinate.
  • y2 (float): Bounding box bottom coordinate.
  • bounding_box (list[float]): Bounding box in [x1, y1, x2, y2] format.

Processing Pipeline

The dataset was generated using the following steps:

  1. Download the source video using yt-dlp.
  2. Extract frames using ffmpeg at 1 frame per second.
  3. Run YOLO detection on each frame.
  4. Store detections into a Parquet file.

Query Retrieval Results

For each query (row) in the following dataset featuring car images:

https://huggingface.co/datasets/aegean-ai/rav4-exterior-images/

I created a script detecting car parts in the query images and matching them to contiguous time segments that feature those specific car parts in the source video (www.youtube.com/watch?v=YcvECxtXoxQ).

To see the results, visit this Hugging Face dataset:

https://huggingface.co/datasets/mariiaonokhina/cs6613-ai-spring26-assn2-retrieval-results

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