video_id stringclasses 1
value | frame_index int64 1 2.79k | timestamp int64 0 2.79k | class_label stringclasses 49
values | bbox_x_min float64 0 3.73k | bbox_y_min float64 0 2.02k | bbox_x_max float64 89.2 3.84k | bbox_y_max float64 154 2.16k | confidence_score float64 0.25 0.98 |
|---|---|---|---|---|---|---|---|---|
YcvECxtXoxQ | 1 | 0 | person | 2,541.554443 | 471.956543 | 3,653.489502 | 991.155579 | 0.811505 |
YcvECxtXoxQ | 1 | 0 | truck | 135.317139 | 447.170288 | 3,744.926758 | 2,091.962646 | 0.567464 |
YcvECxtXoxQ | 1 | 0 | car | 176.02771 | 462.696167 | 3,729.176514 | 2,094.644531 | 0.413712 |
YcvECxtXoxQ | 2 | 1 | person | 2,817.287598 | 460.378723 | 3,331.676514 | 1,003.995483 | 0.715362 |
YcvECxtXoxQ | 2 | 1 | truck | 136.779785 | 447.259644 | 3,739.085449 | 2,092.598145 | 0.644554 |
YcvECxtXoxQ | 3 | 2 | person | 2,857.372559 | 456.784058 | 3,366.435059 | 1,002.426086 | 0.751091 |
YcvECxtXoxQ | 3 | 2 | truck | 137.966309 | 446.409485 | 3,758.332764 | 2,093.020264 | 0.645266 |
YcvECxtXoxQ | 4 | 3 | person | 2,610.942627 | 471.895203 | 3,684.401367 | 1,006.530212 | 0.732001 |
YcvECxtXoxQ | 4 | 3 | car | 176.540405 | 459.623108 | 3,768.762695 | 2,094.115967 | 0.51389 |
YcvECxtXoxQ | 4 | 3 | truck | 141.156006 | 445.744629 | 3,773.244141 | 2,091.005615 | 0.511688 |
YcvECxtXoxQ | 5 | 4 | truck | 865.008911 | 298.825562 | 3,382.636475 | 1,943.80481 | 0.806315 |
YcvECxtXoxQ | 6 | 5 | truck | 737.536011 | 304.675049 | 3,313.664307 | 1,950.161499 | 0.76496 |
YcvECxtXoxQ | 7 | 6 | truck | 559.151001 | 295.859985 | 3,316.556396 | 1,954.224243 | 0.696641 |
YcvECxtXoxQ | 8 | 7 | bus | 318.91626 | 90.539429 | 3,432.515625 | 2,108.914307 | 0.634252 |
YcvECxtXoxQ | 8 | 7 | car | 0.182762 | 1,207.020752 | 175.448822 | 1,343.776001 | 0.305393 |
YcvECxtXoxQ | 9 | 8 | bus | 300.579346 | 35.589661 | 3,464.759033 | 2,103.7771 | 0.825238 |
YcvECxtXoxQ | 10 | 9 | car | 328.608765 | 1.034912 | 3,425.411133 | 2,112.005127 | 0.416896 |
YcvECxtXoxQ | 10 | 9 | truck | 320.690552 | 12.356873 | 3,430.388184 | 2,098.17749 | 0.281529 |
YcvECxtXoxQ | 10 | 9 | bus | 311.608887 | 6.084961 | 3,451.281006 | 2,103.754639 | 0.275607 |
YcvECxtXoxQ | 11 | 10 | suitcase | 3,431.62207 | 479.013062 | 3,838.413574 | 1,136.448853 | 0.47776 |
YcvECxtXoxQ | 11 | 10 | motorcycle | 19.267822 | 51.700745 | 3,723.153076 | 2,116.416992 | 0.43234 |
YcvECxtXoxQ | 12 | 11 | motorcycle | 37.874268 | 0 | 3,809.78125 | 2,104.735107 | 0.388204 |
YcvECxtXoxQ | 12 | 11 | suitcase | 3,483.212402 | 480.72641 | 3,838.583496 | 1,187.046875 | 0.325166 |
YcvECxtXoxQ | 13 | 12 | suitcase | 3,204.755859 | 1,149.505127 | 3,808.399658 | 1,964.446777 | 0.573555 |
YcvECxtXoxQ | 13 | 12 | suitcase | 3,560.293457 | 478.604095 | 3,838.469482 | 997.529907 | 0.42807 |
YcvECxtXoxQ | 13 | 12 | motorcycle | 56.568604 | 0 | 3,790.386475 | 2,103.08374 | 0.262583 |
YcvECxtXoxQ | 14 | 13 | motorcycle | 13.382446 | 5.942505 | 3,725.277832 | 2,147.946045 | 0.250769 |
YcvECxtXoxQ | 16 | 15 | suitcase | 2,743.939209 | 17.176849 | 3,840 | 997.302795 | 0.282932 |
YcvECxtXoxQ | 18 | 17 | car | 13.472534 | 0 | 3,826.405518 | 2,125.090088 | 0.439335 |
YcvECxtXoxQ | 18 | 17 | truck | 2.241211 | 0.542175 | 3,792.761719 | 2,160 | 0.383573 |
YcvECxtXoxQ | 19 | 18 | car | 52.120239 | 10.739502 | 3,836.728271 | 2,129.733643 | 0.555725 |
YcvECxtXoxQ | 19 | 18 | truck | 54.026367 | 12.919739 | 3,831.922852 | 2,128.34375 | 0.376872 |
YcvECxtXoxQ | 19 | 18 | parking meter | 1.254822 | 0 | 649.347168 | 2,124.588867 | 0.357637 |
YcvECxtXoxQ | 20 | 19 | truck | 73.092041 | 6.391663 | 3,834.319336 | 2,129.35498 | 0.480393 |
YcvECxtXoxQ | 20 | 19 | car | 324.846313 | 0 | 3,831.887695 | 2,123.38208 | 0.397361 |
YcvECxtXoxQ | 21 | 20 | person | 2,877.290039 | 462.96994 | 3,371.078613 | 1,009.232117 | 0.786193 |
YcvECxtXoxQ | 21 | 20 | truck | 138.662842 | 445.306458 | 3,753.969238 | 2,093.023193 | 0.634478 |
YcvECxtXoxQ | 22 | 21 | person | 2,831.613281 | 464.254974 | 3,413.184082 | 1,004.851135 | 0.865558 |
YcvECxtXoxQ | 22 | 21 | truck | 139.358643 | 445.696655 | 3,755.373779 | 2,092.512451 | 0.534251 |
YcvECxtXoxQ | 22 | 21 | car | 170.502686 | 459.578064 | 3,761.126953 | 2,094.620361 | 0.417087 |
YcvECxtXoxQ | 23 | 22 | person | 1,451.60376 | 0 | 3,103.324951 | 1,987.74646 | 0.7468 |
YcvECxtXoxQ | 23 | 22 | person | 1,454.713989 | 2.288452 | 3,698.1521 | 2,096.148926 | 0.36001 |
YcvECxtXoxQ | 24 | 23 | person | 1.088379 | 8.559998 | 1,020.841614 | 568.231812 | 0.309623 |
YcvECxtXoxQ | 24 | 23 | bowl | 1,473.133667 | 566.992798 | 2,236.547607 | 960.966248 | 0.282319 |
YcvECxtXoxQ | 25 | 24 | bowl | 1,609.028442 | 731.397034 | 2,270.95166 | 1,028.126343 | 0.282301 |
YcvECxtXoxQ | 26 | 25 | airplane | 7.574707 | 70.330261 | 3,807.306152 | 2,145.889893 | 0.301155 |
YcvECxtXoxQ | 27 | 26 | motorcycle | 16.907227 | 26.329834 | 3,828.04834 | 2,120.789063 | 0.771767 |
YcvECxtXoxQ | 28 | 27 | person | 16.059448 | 26.693665 | 3,804.945801 | 2,123.68042 | 0.336722 |
YcvECxtXoxQ | 28 | 27 | person | 4.580475 | 1,295.610352 | 1,356.057861 | 2,125.320557 | 0.328681 |
YcvECxtXoxQ | 30 | 29 | person | 1,980.655884 | 319.225891 | 3,456.668213 | 2,136.926514 | 0.932288 |
YcvECxtXoxQ | 30 | 29 | train | 22.787659 | 1,529.064453 | 1,416.823608 | 2,142.200439 | 0.293393 |
YcvECxtXoxQ | 30 | 29 | motorcycle | 12.146484 | 18.383606 | 2,676.804688 | 2,150.95166 | 0.258121 |
YcvECxtXoxQ | 31 | 30 | person | 2,473.841309 | 237.651855 | 3,509.184082 | 2,137.076172 | 0.952836 |
YcvECxtXoxQ | 31 | 30 | train | 0 | 12.752014 | 2,671.420898 | 2,135.699951 | 0.429412 |
YcvECxtXoxQ | 32 | 31 | person | 2,368.924072 | 222.369507 | 3,416.904053 | 2,136.347168 | 0.960856 |
YcvECxtXoxQ | 33 | 32 | person | 2,365.342041 | 202.705811 | 3,368.093262 | 2,126.866211 | 0.954992 |
YcvECxtXoxQ | 33 | 32 | train | 2.500122 | 11.650818 | 2,609.256592 | 2,121.376465 | 0.383532 |
YcvECxtXoxQ | 34 | 33 | person | 2,450.228271 | 142.726868 | 3,527.589111 | 2,126.48877 | 0.949762 |
YcvECxtXoxQ | 34 | 33 | motorcycle | 6.925415 | 31.371277 | 2,719.232666 | 2,144.554443 | 0.495449 |
YcvECxtXoxQ | 35 | 34 | person | 2,299.574707 | 284.902954 | 3,218.080322 | 2,134.15625 | 0.935776 |
YcvECxtXoxQ | 35 | 34 | car | 10.352051 | 8.730103 | 2,525.275146 | 2,160 | 0.250408 |
YcvECxtXoxQ | 36 | 35 | person | 2,301.587646 | 290.202942 | 3,183.81543 | 2,134.268066 | 0.937326 |
YcvECxtXoxQ | 36 | 35 | car | 8.762329 | 19.253906 | 2,656.099365 | 2,148.542969 | 0.284205 |
YcvECxtXoxQ | 37 | 36 | person | 2,365.279053 | 252.336548 | 3,260.996582 | 2,134.328125 | 0.948443 |
YcvECxtXoxQ | 37 | 36 | car | 6.476624 | 37.646667 | 2,728.150879 | 2,146.825439 | 0.270549 |
YcvECxtXoxQ | 38 | 37 | person | 2,423.895264 | 244.380981 | 3,322.950439 | 2,134.509766 | 0.944951 |
YcvECxtXoxQ | 38 | 37 | cell phone | 2,561.923584 | 978.386902 | 2,667.1521 | 1,098.503296 | 0.324443 |
YcvECxtXoxQ | 38 | 37 | cell phone | 2,568.914063 | 971.375793 | 2,652.322998 | 1,080.390503 | 0.258567 |
YcvECxtXoxQ | 39 | 38 | person | 2,313.285645 | 267.079102 | 3,282.672363 | 2,132.130615 | 0.948061 |
YcvECxtXoxQ | 39 | 38 | car | 10.142578 | 11.447754 | 2,749.698486 | 2,154.967041 | 0.25124 |
YcvECxtXoxQ | 40 | 39 | person | 2,170.999023 | 205.67688 | 3,355.81958 | 2,137.759521 | 0.934015 |
YcvECxtXoxQ | 40 | 39 | car | 6.481018 | 8.591675 | 2,704.218506 | 2,159.95752 | 0.360391 |
YcvECxtXoxQ | 41 | 40 | person | 2,285.891846 | 271.843323 | 3,191.597412 | 2,137.933594 | 0.934813 |
YcvECxtXoxQ | 42 | 41 | person | 2,288.561279 | 178.465942 | 3,379.073242 | 2,130.322266 | 0.944158 |
YcvECxtXoxQ | 42 | 41 | car | 6.776367 | 12.98053 | 2,719.281738 | 2,158.732666 | 0.387799 |
YcvECxtXoxQ | 43 | 42 | person | 2,314.560303 | 222.37793 | 3,274.280518 | 2,131.989502 | 0.940215 |
YcvECxtXoxQ | 44 | 43 | person | 2,305.383789 | 193.167664 | 3,324.034424 | 2,132.557129 | 0.948497 |
YcvECxtXoxQ | 44 | 43 | car | 3.702393 | 6.779114 | 2,776.275879 | 2,152.535645 | 0.439063 |
YcvECxtXoxQ | 44 | 43 | bottle | 2,120.376221 | 734.106079 | 2,223.186279 | 1,144.852661 | 0.313703 |
YcvECxtXoxQ | 45 | 44 | person | 2,306.466797 | 194.789063 | 3,324.602783 | 2,131.008789 | 0.943207 |
YcvECxtXoxQ | 45 | 44 | car | 6.262207 | 3.428467 | 2,772.386475 | 2,154.906494 | 0.327864 |
YcvECxtXoxQ | 46 | 45 | person | 2,331.893555 | 249.666138 | 3,242.827148 | 2,132.429688 | 0.936202 |
YcvECxtXoxQ | 46 | 45 | car | 0 | 12.751282 | 2,585.779053 | 2,141.838135 | 0.330965 |
YcvECxtXoxQ | 47 | 46 | person | 1,999.638428 | 195.726013 | 3,311.729004 | 2,133.058594 | 0.935021 |
YcvECxtXoxQ | 47 | 46 | car | 4.895142 | 10.926086 | 2,755.924805 | 2,151.885254 | 0.283863 |
YcvECxtXoxQ | 48 | 47 | person | 2,473.814209 | 172.141296 | 3,590.50415 | 2,128.253174 | 0.944162 |
YcvECxtXoxQ | 48 | 47 | car | 4.018066 | 13.111267 | 2,585.375 | 1,904.843384 | 0.398124 |
YcvECxtXoxQ | 49 | 48 | person | 3,421.469238 | 54.630615 | 3,838.557129 | 1,877.782837 | 0.75847 |
YcvECxtXoxQ | 50 | 49 | suitcase | 789.063171 | 1,010.159912 | 1,222.48938 | 1,399.970703 | 0.463812 |
YcvECxtXoxQ | 52 | 51 | suitcase | 425.710052 | 406.636505 | 982.177917 | 927.574768 | 0.5164 |
YcvECxtXoxQ | 52 | 51 | suitcase | 148.869141 | 1,017.845459 | 841.440674 | 2,157.738525 | 0.251673 |
YcvECxtXoxQ | 54 | 53 | motorcycle | 14.029541 | 49.298401 | 3,768.629395 | 2,101.170654 | 0.317899 |
YcvECxtXoxQ | 55 | 54 | motorcycle | 43.727783 | 33.489441 | 3,781.320557 | 2,131.335205 | 0.291045 |
YcvECxtXoxQ | 56 | 55 | suitcase | 3,471.953613 | 773.187744 | 3,838.35498 | 1,515.628784 | 0.688279 |
YcvECxtXoxQ | 56 | 55 | suitcase | 2,638.621582 | 834.692139 | 3,167.53125 | 1,312.697021 | 0.608519 |
YcvECxtXoxQ | 56 | 55 | suitcase | 2,783.361572 | 285.442749 | 3,336.327637 | 1,107.401367 | 0.36972 |
YcvECxtXoxQ | 56 | 55 | person | 3,581.734863 | 462.397614 | 3,838.574707 | 829.062073 | 0.31649 |
YcvECxtXoxQ | 56 | 55 | suitcase | 3,004.233398 | 0 | 3,839.244141 | 623.270142 | 0.252534 |
YcvECxtXoxQ | 57 | 56 | person | 2,614.955811 | 2.71344 | 3,837.449951 | 2,109.028076 | 0.925013 |
YcvECxtXoxQ | 58 | 57 | person | 2,386.625488 | 127.077026 | 3,370.965332 | 2,128.86792 | 0.926692 |
End of preview. Expand in Data Studio
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Assignment 2 Detection Index
This repository contains video object detections for the YouTube video YcvECxtXoxQ.
File
video_detections.parquet
Required schema
video_id(string)frame_index(int)timestamp(int, seconds)class_label(string)bbox_x_min(float)bbox_y_min(float)bbox_x_max(float)bbox_y_max(float)confidence_score(float)
Notes
- Detections are produced at 1 fps sampling.
- Retrieval is class-label based with contiguous interval merging.
- Downloads last month
- 3