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datasets

Usage

By default it is expected that this directory will hold all of the datasets.

To download datasets use the get_?_dataset.sh scripts running them from within the datasets dir:

VidDet/datasets$ . get_get_voc_dataset.sh
VidDet/datasets$ . get_get_coco_dataset.sh
VidDet/datasets$ . get_get_imgnetdet_dataset.sh
VidDet/datasets$ . get_get_imgnetvid_dataset.sh

These will make new directories (shown below) and download into. If you want to use symbolically linked directories you will need to make these prior to running the scripts, ensuring they have have the exact spelling as below:

VidDet/datasets/PascalVOC/
VidDet/datasets/MSCoco/
VidDet/datasets/ImageNetDET/
VidDet/datasets/ImageNetVID/

If using an IDE such as PyCharm be sure to mark each of the dataset directories as excluded so they aren't indexed. Indexing just takes too long for the many files that will exist in these directories.

Extras

Download the motion IoU groundtruth .json for the ImageNetVID validation set from Google Drive and place it in the VidDet/datasets/ImageNetDET/ILSVRC/ directory.

Stats

Number of boxes per set, attained by running stats.py

Training

Wordnet ID Wordnet Synset voc trainval 07+12 coco train 17 det train vid train
n02691156 airplane.n.01 1285 5129 1787 88708
n02834778 bicycle.n.01 1208 7056 1879 40326
n01503061 bird.n.01 1820 10537 38206 150882
n02858304 boat.n.01 1397 10575
n02876657 bottle.n.01 2116 24070
n02924116 bus.n.01 909 6061 3030 32715
n02958343 car.n.01 4008 43532 10811 138791
n02121808 domestic_cat.n.01 1616 4766 3514 61903
n03001627 chair.n.01 4338 38071 9642
n01887787 cow.n.02 1058 8014
n03201035 dining-room_table.n.01 1057 15695
n02084071 dog.n.01 2079 5500 74517 142089
n02374451 horse.n.01 1156 6567 2255 60757
n03790512 motorcycle.n.01 1141 8654 2624 37339
n00007846 person.n.01 15576 257249 60254
n13083023 houseplant.n.01 1724 8631
n02411705 sheep.n.01 1347 9223 1883 42342
n04256520 sofa.n.01 1211 5779 1629
n04468005 train.n.01 984 4570 1364 114381
n03211117 display.n.06 1193 5803 2820
n04490091 truck.n.01 9970
n06874185 traffic_light.n.01 12841 1405
n03346898 fireplug.n.01 1865
n06794110 street_sign.n.01 1983
n03891332 parking_meter.n.01 1283
n02828884 bench.n.01 9820 1548
n02503517 elephant.n.01 5484 2129 85340
n02131653 bear.n.01 1294 3089 53989
n02391049 zebra.n.01 5269 1286 76941
n02439033 giraffe.n.01 5128
n02769748 backpack.n.01 8713 1588
n03963198 platter.n.01 11265
n02774152 bag.n.04 12341
n03815615 necktie.n.01 6445
n02774630 baggage.n.01 6112
n03397947 frisbee.n.01 2681
n04228054 ski.n.01 6615 1075
n04251791 snowboard.n.01 2676
n02778669 ball.n.01 6299
n04284869 sport_kite.n.01 8801
n02799175 baseball_bat.n.01 3273
n02800213 baseball_glove.n.01 3747
n04225987 skateboard.n.01 5536
n02731900 aquaplane.n.01 6091
n04409806 tennis_racket.n.01 4803
n04592099 wineglass.n.01 7839
n03438257 glass.n.02 20574
n03383948 fork.n.01 5474
n04380346 table_knife.n.01 7759
n04284002 spoon.n.01 6158
n02881193 bowl.n.01 14323
n07753592 banana.n.02 9195 2239
n07739125 apple.n.01 5776 2346
n07695965 sandwich.n.01 4356
n07747607 orange.n.01 6302 2241
n07714990 broccoli.n.02 7261
n07730207 carrot.n.03 7758
n07697537 hotdog.n.02 2883 789
n07873807 pizza.n.01 5807 949
n07639069 doughnut.n.02 7005
n07613480 trifle.n.01 6296
n02818832 bed.n.01 4192
n04446521 toilet.n.02 4149
n03642806 laptop.n.01 4960 1646
n03793489 mouse.n.04 2261 973
n04074963 remote_control.n.01 5700 798
n03614007 keyboard.n.01 2854
n04401088 telephone.n.01 6420
n03761084 microwave.n.02 1672 920
n03862676 oven.n.01 3334
n04442312 toaster.n.02 225 679
n04553703 washbasin.n.02 5609
n04070727 refrigerator.n.01 2634 913
n02870092 book.n.02 24075
n03046257 clock.n.01 6320
n04522168 vase.n.01 6577
n04148054 scissors.n.01 1464
n04399382 teddy.n.01 4729
n03483316 hand_blower.n.01 198 733
n04453156 toothbrush.n.01 1945
n02672831 accordion.n.01 822
n02219486 ant.n.01 741
n02419796 antelope.n.01 2598 59402
n02454379 armadillo.n.01 684
n07718747 artichoke.n.02 1470
n02764044 ax.n.01 1193
n02766320 baby_bed.n.01 1760
n07693725 bagel.n.01 1166
n02777292 balance_beam.n.01 680
n02786058 band_aid.n.01 821
n02787622 banjo.n.01 778
n02799071 baseball.n.02 598
n02802426 basketball.n.02 950
n02807133 bathing_cap.n.01 1694
n02815834 beaker.n.01 1131
n02206856 bee.n.01 721
n07720875 bell_pepper.n.02 1315
n02840245 binder.n.03 628
n02870880 bookcase.n.01 1242
n02879718 bow.n.04 826
n02883205 bow_tie.n.01 820
n02880940 bowl.n.03 3488
n02892767 brassiere.n.01 753
n07880968 burrito.n.01 736
n02274259 butterfly.n.01 4392
n02437136 camel.n.01 2159
n02951585 can_opener.n.01 569
n02970849 cart.n.01 2367
n02402425 cattle.n.01 1366 55447
n02992211 cello.n.01 976
n01784675 centipede.n.01 786
n03000684 chain_saw.n.01 623
n03017168 chime.n.01 702
n03062245 cocktail_shaker.n.01 502
n03063338 coffee_maker.n.01 1439
n03085013 computer_keyboard.n.01 1388
n03109150 corkscrew.n.01 689
n03128519 cream.n.03 1708
n03134739 croquet_ball.n.01 1068
n03141823 crutch.n.01 1168
n07718472 cucumber.n.02 1064
n03797390 mug.n.04 3417
n03188531 diaper.n.01 670
n03196217 digital_clock.n.01 641
n03207941 dishwasher.n.01 786
n02268443 dragonfly.n.01 1569
n03249569 drum.n.01 2997
n03255030 dumbbell.n.01 1524
n03271574 electric_fan.n.01 922
n03314780 face_powder.n.01 685
n07753113 fig.n.04 1073
n03337140 file.n.03 714
n03991062 pot.n.04 1827
n03372029 flute.n.01 845
n02118333 fox.n.01 2681 38016
n03394916 french_horn.n.01 610
n01639765 frog.n.01 2282
n03400231 frying_pan.n.01 885
n02510455 giant_panda.n.01 962 52984
n01443537 goldfish.n.01 1899
n03445777 golf_ball.n.01 656
n03445924 golfcart.n.01 818
n07583066 guacamole.n.01 798
n03467517 guitar.n.01 2913
n03476991 hair_spray.n.01 537
n07697100 hamburger.n.01 705
n03481172 hammer.n.02 671
n02342885 hamster.n.01 876 40146
n03494278 harmonica.n.01 657
n03495258 harp.n.01 1367
n03124170 cowboy_hat.n.01 2146
n07714571 head_cabbage.n.02 866
n03513137 helmet.n.02 3784
n02398521 hippopotamus.n.01 1107
n03535780 horizontal_bar.n.01 572
n03584254 ipod.n.01 847
n01990800 isopod.n.01 548
n01910747 jellyfish.n.02 1662
n01882714 koala.n.01 1070
n03633091 ladle.n.01 658
n02165456 ladybug.n.01 1126
n03636649 lamp.n.02 3304
n07749582 lemon.n.01 1510
n02129165 lion.n.01 1000 32385
n03676483 lipstick.n.01 682
n01674464 lizard.n.01 5912 32302
n01982650 lobster.n.02 2228
n03710721 maillot.n.01 656
n03720891 maraca.n.01 891
n03759954 microphone.n.01 3477
n03764736 milk_can.n.01 808
n03770439 miniskirt.n.01 1152
n02484322 monkey.n.01 8771 79053
n07734744 mushroom.n.05 1425
n03804744 nail.n.02 1104
n03814639 neck_brace.n.01 713
n03838899 oboe.n.01 705
n02444819 otter.n.02 1073
n03908618 pencil_box.n.01 754
n03908714 pencil_sharpener.n.01 653
n03916031 perfume.n.02 767
n03928116 piano.n.01 1700
n07753275 pineapple.n.02 832
n03942813 ping-pong_ball.n.01 664
n03950228 pitcher.n.02 1271
n03958227 plastic_bag.n.01 873
n03961711 plate_rack.n.01 714
n07768694 pomegranate.n.02 1676
n07615774 ice_lolly.n.01 871
n02346627 porcupine.n.01 1226
n03995372 power_drill.n.01 731
n07695742 pretzel.n.01 1292
n04004767 printer.n.02 668
n04019541 puck.n.02 560
n04023962 punching_bag.n.02 730
n04026417 purse.n.03 1659
n02324045 rabbit.n.01 2194 40036
n04039381 racket.n.04 656
n01495701 ray.n.07 1940
n02509815 lesser_panda.n.01 1029 47935
n04116512 rubber_eraser.n.01 972
n04118538 rugby_ball.n.01 838
n04118776 rule.n.12 732
n04131690 saltshaker.n.01 1049
n04141076 sax.n.02 991
n01770393 scorpion.n.03 845
n04154565 screwdriver.n.01 830
n02076196 seal.n.09 1892
n02445715 skunk.n.04 1016
n01944390 snail.n.01 909
n01726692 snake.n.01 8696 33233
n04252077 snowmobile.n.01 802
n04252225 snowplow.n.01 785
n04254120 soap_dispenser.n.01 694
n04254680 soccer_ball.n.01 930
n04270147 spatula.n.01 779
n02355227 squirrel.n.01 925 48851
n02317335 starfish.n.01 1175
n04317175 stethoscope.n.01 924
n04330267 stove.n.02 1859
n04332243 strainer.n.01 845
n07745940 strawberry.n.01 2247
n04336792 stretcher.n.03 537
n04356056 sunglasses.n.01 2671
n04371430 swimming_trunks.n.01 955
n02395003 swine.n.01 2413
n04376876 syringe.n.01 989
n04379243 table.n.02 8299
n04392985 tape_player.n.01 1184
n04409515 tennis_ball.n.01 759
n01776313 tick.n.02 673
n04591157 windsor_tie.n.01 1367
n02129604 tiger.n.02 1200 21712
n04487394 trombone.n.01 739
n03110669 cornet.n.01 973
n01662784 turtle.n.02 2986 48935
n04509417 unicycle.n.01 677
n04517823 vacuum.n.04 622
n04536866 violin.n.01 1254
n04540053 volleyball.n.02 682
n04542943 waffle_iron.n.01 714
n04554684 washer.n.03 957
n04557648 water_bottle.n.01 993
n04530566 vessel.n.02 9250 59023
n02062744 whale.n.02 1400 43662
n04591713 wine_bottle.n.01 1391

Validation

Wordnet ID Wordnet Synset voc test 07 coco val 17 det val vid val
n02691156 airplane.n.01 311 143 101 45147
n02834778 bicycle.n.01 389 316 283 21602
n01503061 bird.n.01 576 440 3310 100939
n02858304 boat.n.01 393 430
n02876657 bottle.n.01 657 1025
n02924116 bus.n.01 254 285 218 16056
n02958343 car.n.01 1541 1932 1212 85769
n02121808 domestic_cat.n.01 370 202 186 38991
n03001627 chair.n.01 1374 1791 1957
n01887787 cow.n.02 329 380
n03201035 dining-room_table.n.01 299 697
n02084071 dog.n.01 530 218 4288 63552
n02374451 horse.n.01 395 273 291 29036
n03790512 motorcycle.n.01 369 371 267 9213
n00007846 person.n.01 5227 11004 12823
n13083023 houseplant.n.01 592 343
n02411705 sheep.n.01 311 361 149 28231
n04256520 sofa.n.01 396 261 264
n04468005 train.n.01 302 190 100 60619
n03211117 display.n.06 361 288 421
n04490091 truck.n.01 415
n06874185 traffic_light.n.01 637 210
n03346898 fireplug.n.01 101
n06794110 street_sign.n.01 75
n03891332 parking_meter.n.01 60
n02828884 bench.n.01 413 227
n02503517 elephant.n.01 255 121 27735
n02131653 bear.n.01 71 165 26107
n02391049 zebra.n.01 268 72 8240
n02439033 giraffe.n.01 232
n02769748 backpack.n.01 371 419
n03963198 platter.n.01 413
n02774152 bag.n.04 540
n03815615 necktie.n.01 254
n02774630 baggage.n.01 303
n03397947 frisbee.n.01 115
n04228054 ski.n.01 240 171
n04251791 snowboard.n.01 69
n02778669 ball.n.01 263
n04284869 sport_kite.n.01 336
n02799175 baseball_bat.n.01 146
n02800213 baseball_glove.n.01 148
n04225987 skateboard.n.01 179
n02731900 aquaplane.n.01 269
n04409806 tennis_racket.n.01 225
n04592099 wineglass.n.01 343
n03438257 glass.n.02 899
n03383948 fork.n.01 215
n04380346 table_knife.n.01 326
n04284002 spoon.n.01 253
n02881193 bowl.n.01 626
n07753592 banana.n.02 379 237
n07739125 apple.n.01 239 268
n07695965 sandwich.n.01 177
n07747607 orange.n.01 287 213
n07714990 broccoli.n.02 316
n07730207 carrot.n.03 371
n07697537 hotdog.n.02 127 71
n07873807 pizza.n.01 285 105
n07639069 doughnut.n.02 338
n07613480 trifle.n.01 316
n02818832 bed.n.01 163
n04446521 toilet.n.02 179
n03642806 laptop.n.01 231 166
n03793489 mouse.n.04 106 175
n04074963 remote_control.n.01 283 144
n03614007 keyboard.n.01 153
n04401088 telephone.n.01 262
n03761084 microwave.n.02 55 78
n03862676 oven.n.01 143
n04442312 toaster.n.02 9 46
n04553703 washbasin.n.02 225
n04070727 refrigerator.n.01 126 81
n02870092 book.n.02 1161
n03046257 clock.n.01 267
n04522168 vase.n.01 277
n04148054 scissors.n.01 36
n04399382 teddy.n.01 191
n03483316 hand_blower.n.01 11 52
n04453156 toothbrush.n.01 105
n02672831 accordion.n.01 56
n02219486 ant.n.01 52
n02419796 antelope.n.01 285 11700
n02454379 armadillo.n.01 50
n07718747 artichoke.n.02 182
n02764044 ax.n.01 61
n02766320 baby_bed.n.01 72
n07693725 bagel.n.01 145
n02777292 balance_beam.n.01 62
n02786058 band_aid.n.01 74
n02787622 banjo.n.01 54
n02799071 baseball.n.02 77
n02802426 basketball.n.02 54
n02807133 bathing_cap.n.01 159
n02815834 beaker.n.01 176
n02206856 bee.n.01 56
n07720875 bell_pepper.n.02 144
n02840245 binder.n.03 109
n02870880 bookcase.n.01 170
n02879718 bow.n.04 55
n02883205 bow_tie.n.01 118
n02880940 bowl.n.03 810
n02892767 brassiere.n.01 161
n07880968 burrito.n.01 74
n02274259 butterfly.n.01 272
n02437136 camel.n.01 137
n02951585 can_opener.n.01 65
n02970849 cart.n.01 152
n02402425 cattle.n.01 157 17951
n02992211 cello.n.01 100
n01784675 centipede.n.01 37
n03000684 chain_saw.n.01 100
n03017168 chime.n.01 122
n03062245 cocktail_shaker.n.01 90
n03063338 coffee_maker.n.01 44
n03085013 computer_keyboard.n.01 283
n03109150 corkscrew.n.01 54
n03128519 cream.n.03 316
n03134739 croquet_ball.n.01 150
n03141823 crutch.n.01 103
n07718472 cucumber.n.02 263
n03797390 mug.n.04 629
n03188531 diaper.n.01 95
n03196217 digital_clock.n.01 72
n03207941 dishwasher.n.01 58
n02268443 dragonfly.n.01 67
n03249569 drum.n.01 339
n03255030 dumbbell.n.01 163
n03271574 electric_fan.n.01 43
n03314780 face_powder.n.01 92
n07753113 fig.n.04 232
n03337140 file.n.03 87
n03991062 pot.n.04 410
n03372029 flute.n.01 150
n02118333 fox.n.01 181 11916
n03394916 french_horn.n.01 85
n01639765 frog.n.01 126
n03400231 frying_pan.n.01 113
n02510455 giant_panda.n.01 46 8372
n01443537 goldfish.n.01 185
n03445777 golf_ball.n.01 117
n03445924 golfcart.n.01 48
n07583066 guacamole.n.01 69
n03467517 guitar.n.01 190
n03476991 hair_spray.n.01 96
n07697100 hamburger.n.01 72
n03481172 hammer.n.02 93
n02342885 hamster.n.01 31 12472
n03494278 harmonica.n.01 79
n03495258 harp.n.01 76
n03124170 cowboy_hat.n.01 465
n07714571 head_cabbage.n.02 167
n03513137 helmet.n.02 843
n02398521 hippopotamus.n.01 49
n03535780 horizontal_bar.n.01 79
n03584254 ipod.n.01 93
n01990800 isopod.n.01 61
n01910747 jellyfish.n.02 144
n01882714 koala.n.01 47
n03633091 ladle.n.01 134
n02165456 ladybug.n.01 104
n03636649 lamp.n.02 646
n07749582 lemon.n.01 242
n02129165 lion.n.01 40 12809
n03676483 lipstick.n.01 139
n01674464 lizard.n.01 356 13419
n01982650 lobster.n.02 111
n03710721 maillot.n.01 99
n03720891 maraca.n.01 101
n03759954 microphone.n.01 348
n03764736 milk_can.n.01 108
n03770439 miniskirt.n.01 130
n02484322 monkey.n.01 591 34972
n07734744 mushroom.n.05 181
n03804744 nail.n.02 223
n03814639 neck_brace.n.01 60
n03838899 oboe.n.01 76
n02444819 otter.n.02 43
n03908618 pencil_box.n.01 103
n03908714 pencil_sharpener.n.01 94
n03916031 perfume.n.02 86
n03928116 piano.n.01 73
n07753275 pineapple.n.02 136
n03942813 ping-pong_ball.n.01 79
n03950228 pitcher.n.02 126
n03958227 plastic_bag.n.01 268
n03961711 plate_rack.n.01 60
n07768694 pomegranate.n.02 207
n07615774 ice_lolly.n.01 71
n02346627 porcupine.n.01 43
n03995372 power_drill.n.01 59
n07695742 pretzel.n.01 203
n04004767 printer.n.02 55
n04019541 puck.n.02 66
n04023962 punching_bag.n.02 80
n04026417 purse.n.03 310
n02324045 rabbit.n.01 117 12314
n04039381 racket.n.04 90
n01495701 ray.n.07 111
n02509815 lesser_panda.n.01 49 1149
n04116512 rubber_eraser.n.01 262
n04118538 rugby_ball.n.01 70
n04118776 rule.n.12 66
n04131690 saltshaker.n.01 138
n04141076 sax.n.02 90
n01770393 scorpion.n.03 48
n04154565 screwdriver.n.01 119
n02076196 seal.n.09 153
n02445715 skunk.n.04 70
n01944390 snail.n.01 75
n01726692 snake.n.01 517 13766
n04252077 snowmobile.n.01 84
n04252225 snowplow.n.01 60
n04254120 soap_dispenser.n.01 102
n04254680 soccer_ball.n.01 115
n04270147 spatula.n.01 133
n02355227 squirrel.n.01 40 24035
n02317335 starfish.n.01 63
n04317175 stethoscope.n.01 58
n04330267 stove.n.02 191
n04332243 strainer.n.01 76
n07745940 strawberry.n.01 301
n04336792 stretcher.n.03 74
n04356056 sunglasses.n.01 610
n04371430 swimming_trunks.n.01 210
n02395003 swine.n.01 208
n04376876 syringe.n.01 82
n04379243 table.n.02 1682
n04392985 tape_player.n.01 155
n04409515 tennis_ball.n.01 174
n01776313 tick.n.02 49
n04591157 windsor_tie.n.01 204
n02129604 tiger.n.02 54 7767
n04487394 trombone.n.01 125
n03110669 cornet.n.01 157
n01662784 turtle.n.02 229 21478
n04509417 unicycle.n.01 91
n04517823 vacuum.n.04 66
n04536866 violin.n.01 97
n04540053 volleyball.n.02 55
n04542943 waffle_iron.n.01 75
n04554684 washer.n.03 72
n04557648 water_bottle.n.01 177
n04530566 vessel.n.02 859 14148
n02062744 whale.n.02 108 15928
n04591713 wine_bottle.n.01 256