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Upload dataset

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README.md ADDED
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1
+ ---
2
+ dataset_info:
3
+ features:
4
+ - name: image
5
+ dtype: image
6
+ - name: objects
7
+ list:
8
+ - name: label
9
+ dtype:
10
+ class_label:
11
+ names:
12
+ '0': Accordion
13
+ '1': Adhesive tape
14
+ '2': Aircraft
15
+ '3': Alarm clock
16
+ '4': Alpaca
17
+ '5': Ambulance
18
+ '6': Animal
19
+ '7': Ant
20
+ '8': Antelope
21
+ '9': Apple
22
+ '10': Armadillo
23
+ '11': Artichoke
24
+ '12': Auto part
25
+ '13': Axe
26
+ '14': Backpack
27
+ '15': Bagel
28
+ '16': Baked goods
29
+ '17': Balance beam
30
+ '18': Ball (Object)
31
+ '19': Balloon
32
+ '20': Banana
33
+ '21': Band-aid
34
+ '22': Banjo
35
+ '23': Barge
36
+ '24': Barrel
37
+ '25': Baseball bat
38
+ '26': Baseball glove
39
+ '27': Bat (Animal)
40
+ '28': Bathroom accessory
41
+ '29': Bathroom cabinet
42
+ '30': Bathtub
43
+ '31': Beaker
44
+ '32': Bear
45
+ '33': Beard
46
+ '34': Bed
47
+ '35': Bee
48
+ '36': Beehive
49
+ '37': Beer
50
+ '38': Beetle
51
+ '39': Bell pepper
52
+ '40': Belt
53
+ '41': Bench
54
+ '42': Bicycle
55
+ '43': Bicycle helmet
56
+ '44': Bicycle wheel
57
+ '45': Bidet
58
+ '46': Billboard
59
+ '47': Billiard table
60
+ '48': Binoculars
61
+ '49': Bird
62
+ '50': Blender
63
+ '51': Blue jay
64
+ '52': Boat
65
+ '53': Bomb
66
+ '54': Book
67
+ '55': Bookcase
68
+ '56': Boot
69
+ '57': Bottle
70
+ '58': Bottle opener
71
+ '59': Bow and arrow
72
+ '60': Bowl
73
+ '61': Bowling equipment
74
+ '62': Box
75
+ '63': Boy
76
+ '64': Brassiere
77
+ '65': Bread
78
+ '66': Briefcase
79
+ '67': Broccoli
80
+ '68': Bronze sculpture
81
+ '69': Brown bear
82
+ '70': Building
83
+ '71': Bull
84
+ '72': Burrito
85
+ '73': Bus
86
+ '74': Bust
87
+ '75': Butterfly
88
+ '76': Cabbage
89
+ '77': Cabinetry
90
+ '78': Cake
91
+ '79': Cake stand
92
+ '80': Calculator
93
+ '81': Camel
94
+ '82': Camera
95
+ '83': Can opener
96
+ '84': Canary
97
+ '85': Candle
98
+ '86': Candy
99
+ '87': Cannon
100
+ '88': Canoe
101
+ '89': Cantaloupe
102
+ '90': Car
103
+ '91': Carnivore
104
+ '92': Carrot
105
+ '93': Cart
106
+ '94': Cassette deck
107
+ '95': Castle
108
+ '96': Cat
109
+ '97': Cat furniture
110
+ '98': Caterpillar
111
+ '99': Cattle
112
+ '100': Ceiling fan
113
+ '101': Cello
114
+ '102': Centipede
115
+ '103': Chainsaw
116
+ '104': Chair
117
+ '105': Cheese
118
+ '106': Cheetah
119
+ '107': Chest of drawers
120
+ '108': Chicken
121
+ '109': Chime
122
+ '110': Chisel
123
+ '111': Chopsticks
124
+ '112': Christmas tree
125
+ '113': Clock
126
+ '114': Closet
127
+ '115': Clothing
128
+ '116': Coat
129
+ '117': Cocktail
130
+ '118': Cocktail shaker
131
+ '119': Coconut
132
+ '120': Coffee (drink)
133
+ '121': Coffee cup
134
+ '122': Coffee table
135
+ '123': Coffeemaker
136
+ '124': Coin
137
+ '125': Common fig
138
+ '126': Common sunflower
139
+ '127': Computer keyboard
140
+ '128': Computer monitor
141
+ '129': Computer mouse
142
+ '130': Container
143
+ '131': Convenience store
144
+ '132': Cookie
145
+ '133': Cooking spray
146
+ '134': Corded phone
147
+ '135': Cosmetics
148
+ '136': Couch
149
+ '137': Countertop
150
+ '138': Cowboy hat
151
+ '139': Crab
152
+ '140': Cream
153
+ '141': Cricket ball
154
+ '142': Crocodile
155
+ '143': Croissant
156
+ '144': Crown
157
+ '145': Crutch
158
+ '146': Cucumber
159
+ '147': Cupboard
160
+ '148': Curtain
161
+ '149': Cutting board
162
+ '150': Dagger
163
+ '151': Dairy Product
164
+ '152': Deer
165
+ '153': Desk
166
+ '154': Dessert
167
+ '155': Diaper
168
+ '156': Dice
169
+ '157': Digital clock
170
+ '158': Dinosaur
171
+ '159': Dishwasher
172
+ '160': Dog
173
+ '161': Dog bed
174
+ '162': Doll
175
+ '163': Dolphin
176
+ '164': Door
177
+ '165': Door handle
178
+ '166': Doughnut
179
+ '167': Dragonfly
180
+ '168': Drawer
181
+ '169': Dress
182
+ '170': Drill (Tool)
183
+ '171': Drink
184
+ '172': Drinking straw
185
+ '173': Drum
186
+ '174': Duck
187
+ '175': Dumbbell
188
+ '176': Eagle
189
+ '177': Earring
190
+ '178': Egg
191
+ '179': Elephant
192
+ '180': Envelope
193
+ '181': Eraser
194
+ '182': Face powder
195
+ '183': Facial tissue holder
196
+ '184': Falcon
197
+ '185': Fashion accessory
198
+ '186': Fast food
199
+ '187': Fax
200
+ '188': Fedora
201
+ '189': Filing cabinet
202
+ '190': Fire hydrant
203
+ '191': Fireplace
204
+ '192': Fish
205
+ '193': Fixed-wing aircraft
206
+ '194': Flag
207
+ '195': Flashlight
208
+ '196': Flower
209
+ '197': Flowerpot
210
+ '198': Flute
211
+ '199': Flying disc
212
+ '200': Food
213
+ '201': Food processor
214
+ '202': Football
215
+ '203': Football helmet
216
+ '204': Footwear
217
+ '205': Fork
218
+ '206': Fountain
219
+ '207': Fox
220
+ '208': French fries
221
+ '209': French horn
222
+ '210': Frog
223
+ '211': Fruit
224
+ '212': Frying pan
225
+ '213': Furniture
226
+ '214': Garden Asparagus
227
+ '215': Gas stove
228
+ '216': Giraffe
229
+ '217': Girl
230
+ '218': Glasses
231
+ '219': Glove
232
+ '220': Goat
233
+ '221': Goggles
234
+ '222': Goldfish
235
+ '223': Golf ball
236
+ '224': Golf cart
237
+ '225': Gondola
238
+ '226': Goose
239
+ '227': Grape
240
+ '228': Grapefruit
241
+ '229': Grinder
242
+ '230': Guacamole
243
+ '231': Guitar
244
+ '232': Hair dryer
245
+ '233': Hair spray
246
+ '234': Hamburger
247
+ '235': Hammer
248
+ '236': Hamster
249
+ '237': Hand dryer
250
+ '238': Handbag
251
+ '239': Handgun
252
+ '240': Harbor seal
253
+ '241': Harmonica
254
+ '242': Harp
255
+ '243': Harpsichord
256
+ '244': Hat
257
+ '245': Headphones
258
+ '246': Heater
259
+ '247': Hedgehog
260
+ '248': Helicopter
261
+ '249': Helmet
262
+ '250': High heels
263
+ '251': Hiking equipment
264
+ '252': Hippopotamus
265
+ '253': Home appliance
266
+ '254': Honeycomb
267
+ '255': Horizontal bar
268
+ '256': Horse
269
+ '257': Hot dog
270
+ '258': House
271
+ '259': Houseplant
272
+ '260': Human arm
273
+ '261': Human body
274
+ '262': Human ear
275
+ '263': Human eye
276
+ '264': Human face
277
+ '265': Human foot
278
+ '266': Human hair
279
+ '267': Human hand
280
+ '268': Human head
281
+ '269': Human leg
282
+ '270': Human mouth
283
+ '271': Human nose
284
+ '272': Humidifier
285
+ '273': Ice cream
286
+ '274': Indoor rower
287
+ '275': Infant bed
288
+ '276': Insect
289
+ '277': Invertebrate
290
+ '278': Ipod
291
+ '279': Isopod
292
+ '280': Jacket
293
+ '281': Jacuzzi
294
+ '282': Jaguar (Animal)
295
+ '283': Jeans
296
+ '284': Jellyfish
297
+ '285': Jet ski
298
+ '286': Jug
299
+ '287': Juice
300
+ '288': Kangaroo
301
+ '289': Kettle
302
+ '290': Kitchen & dining room table
303
+ '291': Kitchen appliance
304
+ '292': Kitchen knife
305
+ '293': Kitchen utensil
306
+ '294': Kitchenware
307
+ '295': Kite
308
+ '296': Knife
309
+ '297': Koala
310
+ '298': Ladder
311
+ '299': Ladle
312
+ '300': Ladybug
313
+ '301': Lamp
314
+ '302': Land vehicle
315
+ '303': Lantern
316
+ '304': Laptop
317
+ '305': Lavender (Plant)
318
+ '306': Lemon (plant)
319
+ '307': Leopard
320
+ '308': Light bulb
321
+ '309': Light switch
322
+ '310': Lighthouse
323
+ '311': Lily
324
+ '312': Limousine
325
+ '313': Lion
326
+ '314': Lipstick
327
+ '315': Lizard
328
+ '316': Lobster
329
+ '317': Loveseat
330
+ '318': Luggage and bags
331
+ '319': Lynx
332
+ '320': Magpie
333
+ '321': Mammal
334
+ '322': Man
335
+ '323': Mango
336
+ '324': Maple
337
+ '325': Maraca
338
+ '326': Marine invertebrates
339
+ '327': Marine mammal
340
+ '328': Measuring cup
341
+ '329': Mechanical fan
342
+ '330': Medical equipment
343
+ '331': Microphone
344
+ '332': Microwave oven
345
+ '333': Milk
346
+ '334': Miniskirt
347
+ '335': Mirror
348
+ '336': Missile
349
+ '337': Mixer
350
+ '338': Mixing bowl
351
+ '339': Mobile phone
352
+ '340': Monkey
353
+ '341': Moths and butterflies
354
+ '342': Motorcycle
355
+ '343': Mouse
356
+ '344': Muffin
357
+ '345': Mug
358
+ '346': Mule
359
+ '347': Mushroom
360
+ '348': Musical instrument
361
+ '349': Musical keyboard
362
+ '350': Nail (Construction)
363
+ '351': Necklace
364
+ '352': Nightstand
365
+ '353': Oboe
366
+ '354': Office building
367
+ '355': Office supplies
368
+ '356': Orange (fruit)
369
+ '357': Organ (Musical Instrument)
370
+ '358': Ostrich
371
+ '359': Otter
372
+ '360': Oven
373
+ '361': Owl
374
+ '362': Oyster
375
+ '363': Paddle
376
+ '364': Palm tree
377
+ '365': Pancake
378
+ '366': Panda
379
+ '367': Paper cutter
380
+ '368': Paper towel
381
+ '369': Parachute
382
+ '370': Parking meter
383
+ '371': Parrot
384
+ '372': Pasta
385
+ '373': Pastry
386
+ '374': Peach
387
+ '375': Pear
388
+ '376': Pen
389
+ '377': Pencil case
390
+ '378': Pencil sharpener
391
+ '379': Penguin
392
+ '380': Perfume
393
+ '381': Person
394
+ '382': Personal care
395
+ '383': Personal flotation device
396
+ '384': Piano
397
+ '385': Picnic basket
398
+ '386': Picture frame
399
+ '387': Pig
400
+ '388': Pillow
401
+ '389': Pineapple
402
+ '390': Pitcher (Container)
403
+ '391': Pizza
404
+ '392': Pizza cutter
405
+ '393': Plant
406
+ '394': Plastic bag
407
+ '395': Plate
408
+ '396': Platter
409
+ '397': Plumbing fixture
410
+ '398': Polar bear
411
+ '399': Pomegranate
412
+ '400': Popcorn
413
+ '401': Porch
414
+ '402': Porcupine
415
+ '403': Poster
416
+ '404': Potato
417
+ '405': Power plugs and sockets
418
+ '406': Pressure cooker
419
+ '407': Pretzel
420
+ '408': Printer
421
+ '409': Pumpkin
422
+ '410': Punching bag
423
+ '411': Rabbit
424
+ '412': Raccoon
425
+ '413': Racket
426
+ '414': Radish
427
+ '415': Ratchet (Device)
428
+ '416': Raven
429
+ '417': Rays and skates
430
+ '418': Red panda
431
+ '419': Refrigerator
432
+ '420': Remote control
433
+ '421': Reptile
434
+ '422': Rhinoceros
435
+ '423': Rifle
436
+ '424': Ring binder
437
+ '425': Rocket
438
+ '426': Roller skates
439
+ '427': Rose
440
+ '428': Rugby ball
441
+ '429': Ruler
442
+ '430': Salad
443
+ '431': Salt and pepper shakers
444
+ '432': Sandal
445
+ '433': Sandwich
446
+ '434': Saucer
447
+ '435': Saxophone
448
+ '436': Scale
449
+ '437': Scarf
450
+ '438': Scissors
451
+ '439': Scoreboard
452
+ '440': Scorpion
453
+ '441': Screwdriver
454
+ '442': Sculpture
455
+ '443': Sea lion
456
+ '444': Sea turtle
457
+ '445': Seafood
458
+ '446': Seahorse
459
+ '447': Seat belt
460
+ '448': Segway
461
+ '449': Serving tray
462
+ '450': Sewing machine
463
+ '451': Shark
464
+ '452': Sheep
465
+ '453': Shelf
466
+ '454': Shellfish
467
+ '455': Shirt
468
+ '456': Shorts
469
+ '457': Shotgun
470
+ '458': Shower
471
+ '459': Shrimp
472
+ '460': Sink
473
+ '461': Skateboard
474
+ '462': Ski
475
+ '463': Skirt
476
+ '464': Skull
477
+ '465': Skunk
478
+ '466': Skyscraper
479
+ '467': Slow cooker
480
+ '468': Snack
481
+ '469': Snail
482
+ '470': Snake
483
+ '471': Snowboard
484
+ '472': Snowman
485
+ '473': Snowmobile
486
+ '474': Snowplow
487
+ '475': Soap dispenser
488
+ '476': Sock
489
+ '477': Sofa bed
490
+ '478': Sombrero
491
+ '479': Sparrow
492
+ '480': Spatula
493
+ '481': Spice rack
494
+ '482': Spider
495
+ '483': Spoon
496
+ '484': Sports equipment
497
+ '485': Sports uniform
498
+ '486': Squash (Plant)
499
+ '487': Squid
500
+ '488': Squirrel
501
+ '489': Stairs
502
+ '490': Stapler
503
+ '491': Starfish
504
+ '492': Stationary bicycle
505
+ '493': Stethoscope
506
+ '494': Stool
507
+ '495': Stop sign
508
+ '496': Strawberry
509
+ '497': Street light
510
+ '498': Stretcher
511
+ '499': Studio couch
512
+ '500': Submarine
513
+ '501': Submarine sandwich
514
+ '502': Suit
515
+ '503': Suitcase
516
+ '504': Sun hat
517
+ '505': Sunglasses
518
+ '506': Surfboard
519
+ '507': Sushi
520
+ '508': Swan
521
+ '509': Swim cap
522
+ '510': Swimming pool
523
+ '511': Swimwear
524
+ '512': Sword
525
+ '513': Syringe
526
+ '514': Table
527
+ '515': Table tennis racket
528
+ '516': Tablet computer
529
+ '517': Tableware
530
+ '518': Taco
531
+ '519': Tank
532
+ '520': Tap
533
+ '521': Tart
534
+ '522': Taxi
535
+ '523': Tea
536
+ '524': Teapot
537
+ '525': Teddy bear
538
+ '526': Telephone
539
+ '527': Television
540
+ '528': Tennis ball
541
+ '529': Tennis racket
542
+ '530': Tent
543
+ '531': Tiara
544
+ '532': Tick
545
+ '533': Tie
546
+ '534': Tiger
547
+ '535': Tin can
548
+ '536': Tire
549
+ '537': Toaster
550
+ '538': Toilet
551
+ '539': Toilet paper
552
+ '540': Tomato
553
+ '541': Tool
554
+ '542': Toothbrush
555
+ '543': Torch
556
+ '544': Tortoise
557
+ '545': Towel
558
+ '546': Tower
559
+ '547': Toy
560
+ '548': Traffic light
561
+ '549': Traffic sign
562
+ '550': Train
563
+ '551': Training bench
564
+ '552': Treadmill
565
+ '553': Tree
566
+ '554': Tree house
567
+ '555': Tripod
568
+ '556': Trombone
569
+ '557': Trousers
570
+ '558': Truck
571
+ '559': Trumpet
572
+ '560': Turkey
573
+ '561': Turtle
574
+ '562': Umbrella
575
+ '563': Unicycle
576
+ '564': Van
577
+ '565': Vase
578
+ '566': Vegetable
579
+ '567': Vehicle
580
+ '568': Vehicle registration plate
581
+ '569': Violin
582
+ '570': Volleyball (Ball)
583
+ '571': Waffle
584
+ '572': Waffle iron
585
+ '573': Wall clock
586
+ '574': Wardrobe
587
+ '575': Washing machine
588
+ '576': Waste container
589
+ '577': Watch
590
+ '578': Watercraft
591
+ '579': Watermelon
592
+ '580': Weapon
593
+ '581': Whale
594
+ '582': Wheel
595
+ '583': Wheelchair
596
+ '584': Whisk
597
+ '585': Whiteboard
598
+ '586': Willow
599
+ '587': Window
600
+ '588': Window blind
601
+ '589': Wine
602
+ '590': Wine glass
603
+ '591': Wine rack
604
+ '592': Winter melon
605
+ '593': Wok
606
+ '594': Woman
607
+ '595': Wood-burning stove
608
+ '596': Woodpecker
609
+ '597': Worm
610
+ '598': Wrench
611
+ '599': Zebra
612
+ '600': Zucchini
613
+ - name: source
614
+ dtype: string
615
+ - name: confidence
616
+ dtype: float32
617
+ - name: xmin
618
+ dtype: float32
619
+ - name: xmax
620
+ dtype: float32
621
+ - name: ymin
622
+ dtype: float32
623
+ - name: ymax
624
+ dtype: float32
625
+ - name: is_occluded
626
+ dtype: bool
627
+ - name: is_truncated
628
+ dtype: bool
629
+ - name: is_group_of
630
+ dtype: bool
631
+ - name: is_depiction
632
+ dtype: bool
633
+ - name: is_inside
634
+ dtype: bool
635
+ splits:
636
+ - name: validation
637
+ num_bytes: 11657933011.694
638
+ num_examples: 37306
639
+ download_size: 11863200724
640
+ dataset_size: 11657933011.694
641
+ configs:
642
+ - config_name: default
643
+ data_files:
644
+ - split: validation
645
+ path: data/validation-*
646
+ ---
data/validation-00000-of-00024.parquet ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:eeaadd3c2631fe56ecdd0c10fb6aac5c0c4e0ab58d19aba25f93b6969b0fc490
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+ size 492463112
data/validation-00001-of-00024.parquet ADDED
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+ version https://git-lfs.github.com/spec/v1
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