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---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': 000_tench, Tinca tinca
'1': 001_goldfish, Carassius auratus
'2': 002_great white shark, white shark, man-eater, man-eating shark, Carcharodon
carcharias
'3': 003_tiger shark, Galeocerdo cuvieri
'4': 004_hammerhead, hammerhead shark
'5': 005_electric ray, crampfish, numbfish, torpedo
'6': 006_stingray
'7': 007_cock
'8': 008_hen
'9': 009_ostrich, Struthio camelus
'10': 010_brambling, Fringilla montifringilla
'11': 011_goldfinch, Carduelis carduelis
'12': 012_house finch, linnet, Carpodacus mexicanus
'13': 013_junco, snowbird
'14': 014_indigo bunting, indigo finch, indigo bird, Passerina cyanea
'15': 015_robin, American robin, Turdus migratorius
'16': 016_bulbul
'17': 017_jay
'18': 018_magpie
'19': 019_chickadee
'20': 020_water ouzel, dipper
'21': 021_kite
'22': 022_bald eagle, American eagle, Haliaeetus leucocephalus
'23': 023_vulture
'24': 024_great grey owl, great gray owl, Strix nebulosa
'25': 025_European fire salamander, Salamandra salamandra
'26': 026_common newt, Triturus vulgaris
'27': 027_eft
'28': 028_spotted salamander, Ambystoma maculatum
'29': 029_axolotl, mud puppy, Ambystoma mexicanum
'30': 030_bullfrog, Rana catesbeiana
'31': 031_tree frog, tree-frog
'32': 032_tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui
'33': 033_loggerhead, loggerhead turtle, Caretta caretta
'34': 034_leatherback turtle, leatherback, leathery turtle, Dermochelys
coriacea
'35': 035_mud turtle
'36': 036_terrapin
'37': 037_box turtle, box tortoise
'38': 038_banded gecko
'39': 039_common iguana, iguana, Iguana iguana
'40': 040_American chameleon, anole, Anolis carolinensis
'41': 041_whiptail, whiptail lizard
'42': 042_agama
'43': 043_frilled lizard, Chlamydosaurus kingi
'44': 044_alligator lizard
'45': 045_Gila monster, Heloderma suspectum
'46': 046_green lizard, Lacerta viridis
'47': 047_African chameleon, Chamaeleo chamaeleon
'48': 048_Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus
komodoensis
'49': 049_African crocodile, Nile crocodile, Crocodylus niloticus
'50': 050_American alligator, Alligator mississipiensis
'51': 051_triceratops
'52': 052_thunder snake, worm snake, Carphophis amoenus
'53': 053_ringneck snake, ring-necked snake, ring snake
'54': 054_hognose snake, puff adder, sand viper
'55': 055_green snake, grass snake
'56': 056_king snake, kingsnake
'57': 057_garter snake, grass snake
'58': 058_water snake
'59': 059_vine snake
'60': 060_night snake, Hypsiglena torquata
'61': 061_boa constrictor, Constrictor constrictor
'62': 062_rock python, rock snake, Python sebae
'63': 063_Indian cobra, Naja naja
'64': 064_green mamba
'65': 065_sea snake
'66': 066_horned viper, cerastes, sand viper, horned asp, Cerastes cornutus
'67': 067_diamondback, diamondback rattlesnake, Crotalus adamanteus
'68': 068_sidewinder, horned rattlesnake, Crotalus cerastes
'69': 069_trilobite
'70': 070_harvestman, daddy longlegs, Phalangium opilio
'71': 071_scorpion
'72': 072_black and gold garden spider, Argiope aurantia
'73': 073_barn spider, Araneus cavaticus
'74': 074_garden spider, Aranea diademata
'75': 075_black widow, Latrodectus mactans
'76': 076_tarantula
'77': 077_wolf spider, hunting spider
'78': 078_tick
'79': 079_centipede
'80': 080_black grouse
'81': 081_ptarmigan
'82': 082_ruffed grouse, partridge, Bonasa umbellus
'83': 083_prairie chicken, prairie grouse, prairie fowl
'84': 084_peacock
'85': 085_quail
'86': 086_partridge
'87': 087_African grey, African gray, Psittacus erithacus
'88': 088_macaw
'89': 089_sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita
'90': 090_lorikeet
'91': 091_coucal
'92': 092_bee eater
'93': 093_hornbill
'94': 094_hummingbird
'95': 095_jacamar
'96': 096_toucan
'97': 097_drake
'98': 098_red-breasted merganser, Mergus serrator
'99': 099_goose
'100': 100_black swan, Cygnus atratus
'101': 101_tusker
'102': 102_echidna, spiny anteater, anteater
'103': 103_platypus, duckbill, duckbilled platypus, duck-billed platypus,
Ornithorhynchus anatinus
'104': 104_wallaby, brush kangaroo
'105': 105_koala, koala bear, kangaroo bear, native bear, Phascolarctos
cinereus
'106': 106_wombat
'107': 107_jellyfish
'108': 108_sea anemone, anemone
'109': 109_brain coral
'110': 110_flatworm, platyhelminth
'111': 111_nematode, nematode worm, roundworm
'112': 112_conch
'113': 113_snail
'114': 114_slug
'115': 115_sea slug, nudibranch
'116': 116_chiton, coat-of-mail shell, sea cradle, polyplacophore
'117': 117_chambered nautilus, pearly nautilus, nautilus
'118': 118_Dungeness crab, Cancer magister
'119': 119_rock crab, Cancer irroratus
'120': 120_fiddler crab
'121': 121_king crab, Alaska crab, Alaskan king crab, Alaska king crab,
Paralithodes camtschatica
'122': 122_American lobster, Northern lobster, Maine lobster, Homarus americanus
'123': 123_spiny lobster, langouste, rock lobster, crawfish, crayfish, sea
crawfish
'124': 124_crayfish, crawfish, crawdad, crawdaddy
'125': 125_hermit crab
'126': 126_isopod
'127': 127_white stork, Ciconia ciconia
'128': 128_black stork, Ciconia nigra
'129': 129_spoonbill
'130': 130_flamingo
'131': 131_little blue heron, Egretta caerulea
'132': 132_American egret, great white heron, Egretta albus
'133': 133_bittern
'134': 134_crane
'135': 135_limpkin, Aramus pictus
'136': 136_European gallinule, Porphyrio porphyrio
'137': 137_American coot, marsh hen, mud hen, water hen, Fulica americana
'138': 138_bustard
'139': 139_ruddy turnstone, Arenaria interpres
'140': 140_red-backed sandpiper, dunlin, Erolia alpina
'141': 141_redshank, Tringa totanus
'142': 142_dowitcher
'143': 143_oystercatcher, oyster catcher
'144': 144_pelican
'145': 145_king penguin, Aptenodytes patagonica
'146': 146_albatross, mollymawk
'147': 147_grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius
robustus
'148': 148_killer whale, killer, orca, grampus, sea wolf, Orcinus orca
'149': 149_dugong, Dugong dugon
'150': 150_sea lion
'151': 151_Chihuahua
'152': 152_Japanese spaniel
'153': 153_Maltese dog, Maltese terrier, Maltese
'154': 154_Pekinese, Pekingese, Peke
'155': 155_Shih-Tzu
'156': 156_Blenheim spaniel
'157': 157_papillon
'158': 158_toy terrier
'159': 159_Rhodesian ridgeback
'160': 160_Afghan hound, Afghan
'161': 161_basset, basset hound
'162': 162_beagle
'163': 163_bloodhound, sleuthhound
'164': 164_bluetick
'165': 165_black-and-tan coonhound
'166': 166_Walker hound, Walker foxhound
'167': 167_English foxhound
'168': 168_redbone
'169': 169_borzoi, Russian wolfhound
'170': 170_Irish wolfhound
'171': 171_Italian greyhound
'172': 172_whippet
'173': 173_Ibizan hound, Ibizan Podenco
'174': 174_Norwegian elkhound, elkhound
'175': 175_otterhound, otter hound
'176': 176_Saluki, gazelle hound
'177': 177_Scottish deerhound, deerhound
'178': 178_Weimaraner
'179': 179_Staffordshire bullterrier, Staffordshire bull terrier
'180': 180_American Staffordshire terrier, Staffordshire terrier, American
pit bull terrier, pit bull terrier
'181': 181_Bedlington terrier
'182': 182_Border terrier
'183': 183_Kerry blue terrier
'184': 184_Irish terrier
'185': 185_Norfolk terrier
'186': 186_Norwich terrier
'187': 187_Yorkshire terrier
'188': 188_wire-haired fox terrier
'189': 189_Lakeland terrier
'190': 190_Sealyham terrier, Sealyham
'191': 191_Airedale, Airedale terrier
'192': 192_cairn, cairn terrier
'193': 193_Australian terrier
'194': 194_Dandie Dinmont, Dandie Dinmont terrier
'195': 195_Boston bull, Boston terrier
'196': 196_miniature schnauzer
'197': 197_giant schnauzer
'198': 198_standard schnauzer
'199': 199_Scotch terrier, Scottish terrier, Scottie
'200': 200_Tibetan terrier, chrysanthemum dog
'201': 201_silky terrier, Sydney silky
'202': 202_soft-coated wheaten terrier
'203': 203_West Highland white terrier
'204': 204_Lhasa, Lhasa apso
'205': 205_flat-coated retriever
'206': 206_curly-coated retriever
'207': 207_golden retriever
'208': 208_Labrador retriever
'209': 209_Chesapeake Bay retriever
'210': 210_German short-haired pointer
'211': 211_vizsla, Hungarian pointer
'212': 212_English setter
'213': 213_Irish setter, red setter
'214': 214_Gordon setter
'215': 215_Brittany spaniel
'216': 216_clumber, clumber spaniel
'217': 217_English springer, English springer spaniel
'218': 218_Welsh springer spaniel
'219': 219_cocker spaniel, English cocker spaniel, cocker
'220': 220_Sussex spaniel
'221': 221_Irish water spaniel
'222': 222_kuvasz
'223': 223_schipperke
'224': 224_groenendael
'225': 225_malinois
'226': 226_briard
'227': 227_kelpie
'228': 228_komondor
'229': 229_Old English sheepdog, bobtail
'230': 230_Shetland sheepdog, Shetland sheep dog, Shetland
'231': 231_collie
'232': 232_Border collie
'233': 233_Bouvier des Flandres, Bouviers des Flandres
'234': 234_Rottweiler
'235': 235_German shepherd, German shepherd dog, German police dog, alsatian
'236': 236_Doberman, Doberman pinscher
'237': 237_miniature pinscher
'238': 238_Greater Swiss Mountain dog
'239': 239_Bernese mountain dog
'240': 240_Appenzeller
'241': 241_EntleBucher
'242': 242_boxer
'243': 243_bull mastiff
'244': 244_Tibetan mastiff
'245': 245_French bulldog
'246': 246_Great Dane
'247': 247_Saint Bernard, St Bernard
'248': 248_Eskimo dog, husky
'249': 249_malamute, malemute, Alaskan malamute
'250': 250_Siberian husky
'251': 251_dalmatian, coach dog, carriage dog
'252': 252_affenpinscher, monkey pinscher, monkey dog
'253': 253_basenji
'254': 254_pug, pug-dog
'255': 255_Leonberg
'256': 256_Newfoundland, Newfoundland dog
'257': 257_Great Pyrenees
'258': 258_Samoyed, Samoyede
'259': 259_Pomeranian
'260': 260_chow, chow chow
'261': 261_keeshond
'262': 262_Brabancon griffon
'263': 263_Pembroke, Pembroke Welsh corgi
'264': 264_Cardigan, Cardigan Welsh corgi
'265': 265_toy poodle
'266': 266_miniature poodle
'267': 267_standard poodle
'268': 268_Mexican hairless
'269': 269_timber wolf, grey wolf, gray wolf, Canis lupus
'270': 270_white wolf, Arctic wolf, Canis lupus tundrarum
'271': 271_red wolf, maned wolf, Canis rufus, Canis niger
'272': 272_coyote, prairie wolf, brush wolf, Canis latrans
'273': 273_dingo, warrigal, warragal, Canis dingo
'274': 274_dhole, Cuon alpinus
'275': 275_African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus
'276': 276_hyena, hyaena
'277': 277_red fox, Vulpes vulpes
'278': 278_kit fox, Vulpes macrotis
'279': 279_Arctic fox, white fox, Alopex lagopus
'280': 280_grey fox, gray fox, Urocyon cinereoargenteus
'281': 281_tabby, tabby cat
'282': 282_tiger cat
'283': 283_Persian cat
'284': 284_Siamese cat, Siamese
'285': 285_Egyptian cat
'286': 286_cougar, puma, catamount, mountain lion, painter, panther, Felis
concolor
'287': 287_lynx, catamount
'288': 288_leopard, Panthera pardus
'289': 289_snow leopard, ounce, Panthera uncia
'290': 290_jaguar, panther, Panthera onca, Felis onca
'291': 291_lion, king of beasts, Panthera leo
'292': 292_tiger, Panthera tigris
'293': 293_cheetah, chetah, Acinonyx jubatus
'294': 294_brown bear, bruin, Ursus arctos
'295': 295_American black bear, black bear, Ursus americanus, Euarctos americanus
'296': 296_ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus
'297': 297_sloth bear, Melursus ursinus, Ursus ursinus
'298': 298_mongoose
'299': 299_meerkat, mierkat
'300': 300_tiger beetle
'301': 301_ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle
'302': 302_ground beetle, carabid beetle
'303': 303_long-horned beetle, longicorn, longicorn beetle
'304': 304_leaf beetle, chrysomelid
'305': 305_dung beetle
'306': 306_rhinoceros beetle
'307': 307_weevil
'308': 308_fly
'309': 309_bee
'310': 310_ant, emmet, pismire
'311': 311_grasshopper, hopper
'312': 312_cricket
'313': 313_walking stick, walkingstick, stick insect
'314': 314_cockroach, roach
'315': 315_mantis, mantid
'316': 316_cicada, cicala
'317': 317_leafhopper
'318': 318_lacewing, lacewing fly
'319': 319_dragonfly, darning needle, devil's darning needle, sewing needle,
snake feeder, snake doctor, mosquito hawk, skeeter hawk
'320': 320_damselfly
'321': 321_admiral
'322': 322_ringlet, ringlet butterfly
'323': 323_monarch, monarch butterfly, milkweed butterfly, Danaus plexippus
'324': 324_cabbage butterfly
'325': 325_sulphur butterfly, sulfur butterfly
'326': 326_lycaenid, lycaenid butterfly
'327': 327_starfish, sea star
'328': 328_sea urchin
'329': 329_sea cucumber, holothurian
'330': 330_wood rabbit, cottontail, cottontail rabbit
'331': 331_hare
'332': 332_Angora, Angora rabbit
'333': 333_hamster
'334': 334_porcupine, hedgehog
'335': 335_fox squirrel, eastern fox squirrel, Sciurus niger
'336': 336_marmot
'337': 337_beaver
'338': 338_guinea pig, Cavia cobaya
'339': 339_sorrel
'340': 340_zebra
'341': 341_hog, pig, grunter, squealer, Sus scrofa
'342': 342_wild boar, boar, Sus scrofa
'343': 343_warthog
'344': 344_hippopotamus, hippo, river horse, Hippopotamus amphibius
'345': 345_ox
'346': 346_water buffalo, water ox, Asiatic buffalo, Bubalus bubalis
'347': 347_bison
'348': 348_ram, tup
'349': 349_bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky
Mountain sheep, Ovis canadensis
'350': 350_ibex, Capra ibex
'351': 351_hartebeest
'352': 352_impala, Aepyceros melampus
'353': 353_gazelle
'354': 354_Arabian camel, dromedary, Camelus dromedarius
'355': 355_llama
'356': 356_weasel
'357': 357_mink
'358': 358_polecat, fitch, foulmart, foumart, Mustela putorius
'359': 359_black-footed ferret, ferret, Mustela nigripes
'360': 360_otter
'361': 361_skunk, polecat, wood pussy
'362': 362_badger
'363': 363_armadillo
'364': 364_three-toed sloth, ai, Bradypus tridactylus
'365': 365_orangutan, orang, orangutang, Pongo pygmaeus
'366': 366_gorilla, Gorilla gorilla
'367': 367_chimpanzee, chimp, Pan troglodytes
'368': 368_gibbon, Hylobates lar
'369': 369_siamang, Hylobates syndactylus, Symphalangus syndactylus
'370': 370_guenon, guenon monkey
'371': 371_patas, hussar monkey, Erythrocebus patas
'372': 372_baboon
'373': 373_macaque
'374': 374_langur
'375': 375_colobus, colobus monkey
'376': 376_proboscis monkey, Nasalis larvatus
'377': 377_marmoset
'378': 378_capuchin, ringtail, Cebus capucinus
'379': 379_howler monkey, howler
'380': 380_titi, titi monkey
'381': 381_spider monkey, Ateles geoffroyi
'382': 382_squirrel monkey, Saimiri sciureus
'383': 383_Madagascar cat, ring-tailed lemur, Lemur catta
'384': 384_indri, indris, Indri indri, Indri brevicaudatus
'385': 385_Indian elephant, Elephas maximus
'386': 386_African elephant, Loxodonta africana
'387': 387_lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens
'388': 388_giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca
'389': 389_barracouta, snoek
'390': 390_eel
'391': 391_coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus
kisutch
'392': 392_rock beauty, Holocanthus tricolor
'393': 393_anemone fish
'394': 394_sturgeon
'395': 395_gar, garfish, garpike, billfish, Lepisosteus osseus
'396': 396_lionfish
'397': 397_puffer, pufferfish, blowfish, globefish
'398': 398_abacus
'399': 399_abaya
'400': 400_academic gown, academic robe, judge's robe
'401': 401_accordion, piano accordion, squeeze box
'402': 402_acoustic guitar
'403': 403_aircraft carrier, carrier, flattop, attack aircraft carrier
'404': 404_airliner
'405': 405_airship, dirigible
'406': 406_altar
'407': 407_ambulance
'408': 408_amphibian, amphibious vehicle
'409': 409_analog clock
'410': 410_apiary, bee house
'411': 411_apron
'412': 412_ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin,
dustbin, trash barrel, trash bin
'413': 413_assault rifle, assault gun
'414': 414_backpack, back pack, knapsack, packsack, rucksack, haversack
'415': 415_bakery, bakeshop, bakehouse
'416': 416_balance beam, beam
'417': 417_balloon
'418': 418_ballpoint, ballpoint pen, ballpen, Biro
'419': 419_Band Aid
'420': 420_banjo
'421': 421_bannister, banister, balustrade, balusters, handrail
'422': 422_barbell
'423': 423_barber chair
'424': 424_barbershop
'425': 425_barn
'426': 426_barometer
'427': 427_barrel, cask
'428': 428_barrow, garden cart, lawn cart, wheelbarrow
'429': 429_baseball
'430': 430_basketball
'431': 431_bassinet
'432': 432_bassoon
'433': 433_bathing cap, swimming cap
'434': 434_bath towel
'435': 435_bathtub, bathing tub, bath, tub
'436': 436_beach wagon, station wagon, wagon, estate car, beach waggon,
station waggon, waggon
'437': 437_beacon, lighthouse, beacon light, pharos
'438': 438_beaker
'439': 439_bearskin, busby, shako
'440': 440_beer bottle
'441': 441_beer glass
'442': 442_bell cote, bell cot
'443': 443_bib
'444': 444_bicycle-built-for-two, tandem bicycle, tandem
'445': 445_bikini, two-piece
'446': 446_binder, ring-binder
'447': 447_binoculars, field glasses, opera glasses
'448': 448_birdhouse
'449': 449_boathouse
'450': 450_bobsled, bobsleigh, bob
'451': 451_bolo tie, bolo, bola tie, bola
'452': 452_bonnet, poke bonnet
'453': 453_bookcase
'454': 454_bookshop, bookstore, bookstall
'455': 455_bottlecap
'456': 456_bow
'457': 457_bow tie, bow-tie, bowtie
'458': 458_brass, memorial tablet, plaque
'459': 459_brassiere, bra, bandeau
'460': 460_breakwater, groin, groyne, mole, bulwark, seawall, jetty
'461': 461_breastplate, aegis, egis
'462': 462_broom
'463': 463_bucket, pail
'464': 464_buckle
'465': 465_bulletproof vest
'466': 466_bullet train, bullet
'467': 467_butcher shop, meat market
'468': 468_cab, hack, taxi, taxicab
'469': 469_caldron, cauldron
'470': 470_candle, taper, wax light
'471': 471_cannon
'472': 472_canoe
'473': 473_can opener, tin opener
'474': 474_cardigan
'475': 475_car mirror
'476': 476_carousel, carrousel, merry-go-round, roundabout, whirligig
'477': 477_carpenter's kit, tool kit
'478': 478_carton
'479': 479_car wheel
'480': 480_cash machine, cash dispenser, automated teller machine, automatic
teller machine, automated teller, automatic teller, ATM
'481': 481_cassette
'482': 482_cassette player
'483': 483_castle
'484': 484_catamaran
'485': 485_CD player
'486': 486_cello, violoncello
'487': 487_cellular telephone, cellular phone, cellphone, cell, mobile phone
'488': 488_chain
'489': 489_chainlink fence
'490': 490_chain mail, ring mail, mail, chain armor, chain armour, ring
armor, ring armour
'491': 491_chain saw, chainsaw
'492': 492_chest
'493': 493_chiffonier, commode
'494': 494_chime, bell, gong
'495': 495_china cabinet, china closet
'496': 496_Christmas stocking
'497': 497_church, church building
'498': 498_cinema, movie theater, movie theatre, movie house, picture palace
'499': 499_cleaver, meat cleaver, chopper
'500': 500_cliff dwelling
'501': 501_cloak
'502': 502_clog, geta, patten, sabot
'503': 503_cocktail shaker
'504': 504_coffee mug
'505': 505_coffeepot
'506': 506_coil, spiral, volute, whorl, helix
'507': 507_combination lock
'508': 508_computer keyboard, keypad
'509': 509_confectionery, confectionary, candy store
'510': 510_container ship, containership, container vessel
'511': 511_convertible
'512': 512_corkscrew, bottle screw
'513': 513_cornet, horn, trumpet, trump
'514': 514_cowboy boot
'515': 515_cowboy hat, ten-gallon hat
'516': 516_cradle
'517': 517_crane
'518': 518_crash helmet
'519': 519_crate
'520': 520_crib, cot
'521': 521_Crock Pot
'522': 522_croquet ball
'523': 523_crutch
'524': 524_cuirass
'525': 525_dam, dike, dyke
'526': 526_desk
'527': 527_desktop computer
'528': 528_dial telephone, dial phone
'529': 529_diaper, nappy, napkin
'530': 530_digital clock
'531': 531_digital watch
'532': 532_dining table, board
'533': 533_dishrag, dishcloth
'534': 534_dishwasher, dish washer, dishwashing machine
'535': 535_disk brake, disc brake
'536': 536_dock, dockage, docking facility
'537': 537_dogsled, dog sled, dog sleigh
'538': 538_dome
'539': 539_doormat, welcome mat
'540': 540_drilling platform, offshore rig
'541': 541_drum, membranophone, tympan
'542': 542_drumstick
'543': 543_dumbbell
'544': 544_Dutch oven
'545': 545_electric fan, blower
'546': 546_electric guitar
'547': 547_electric locomotive
'548': 548_entertainment center
'549': 549_envelope
'550': 550_espresso maker
'551': 551_face powder
'552': 552_feather boa, boa
'553': 553_file, file cabinet, filing cabinet
'554': 554_fireboat
'555': 555_fire engine, fire truck
'556': 556_fire screen, fireguard
'557': 557_flagpole, flagstaff
'558': 558_flute, transverse flute
'559': 559_folding chair
'560': 560_football helmet
'561': 561_forklift
'562': 562_fountain
'563': 563_fountain pen
'564': 564_four-poster
'565': 565_freight car
'566': 566_French horn, horn
'567': 567_frying pan, frypan, skillet
'568': 568_fur coat
'569': 569_garbage truck, dustcart
'570': 570_gasmask, respirator, gas helmet
'571': 571_gas pump, gasoline pump, petrol pump, island dispenser
'572': 572_goblet
'573': 573_go-kart
'574': 574_golf ball
'575': 575_golfcart, golf cart
'576': 576_gondola
'577': 577_gong, tam-tam
'578': 578_gown
'579': 579_grand piano, grand
'580': 580_greenhouse, nursery, glasshouse
'581': 581_grille, radiator grille
'582': 582_grocery store, grocery, food market, market
'583': 583_guillotine
'584': 584_hair slide
'585': 585_hair spray
'586': 586_half track
'587': 587_hammer
'588': 588_hamper
'589': 589_hand blower, blow dryer, blow drier, hair dryer, hair drier
'590': 590_hand-held computer, hand-held microcomputer
'591': 591_handkerchief, hankie, hanky, hankey
'592': 592_hard disc, hard disk, fixed disk
'593': 593_harmonica, mouth organ, harp, mouth harp
'594': 594_harp
'595': 595_harvester, reaper
'596': 596_hatchet
'597': 597_holster
'598': 598_home theater, home theatre
'599': 599_honeycomb
'600': 600_hook, claw
'601': 601_hoopskirt, crinoline
'602': 602_horizontal bar, high bar
'603': 603_horse cart, horse-cart
'604': 604_hourglass
'605': 605_iPod
'606': 606_iron, smoothing iron
'607': 607_jack-o'-lantern
'608': 608_jean, blue jean, denim
'609': 609_jeep, landrover
'610': 610_jersey, T-shirt, tee shirt
'611': 611_jigsaw puzzle
'612': 612_jinrikisha, ricksha, rickshaw
'613': 613_joystick
'614': 614_kimono
'615': 615_knee pad
'616': 616_knot
'617': 617_lab coat, laboratory coat
'618': 618_ladle
'619': 619_lampshade, lamp shade
'620': 620_laptop, laptop computer
'621': 621_lawn mower, mower
'622': 622_lens cap, lens cover
'623': 623_letter opener, paper knife, paperknife
'624': 624_library
'625': 625_lifeboat
'626': 626_lighter, light, igniter, ignitor
'627': 627_limousine, limo
'628': 628_liner, ocean liner
'629': 629_lipstick, lip rouge
'630': 630_Loafer
'631': 631_lotion
'632': 632_loudspeaker, speaker, speaker unit, loudspeaker system, speaker
system
'633': 633_loupe, jeweler's loupe
'634': 634_lumbermill, sawmill
'635': 635_magnetic compass
'636': 636_mailbag, postbag
'637': 637_mailbox, letter box
'638': 638_maillot
'639': 639_maillot, tank suit
'640': 640_manhole cover
'641': 641_maraca
'642': 642_marimba, xylophone
'643': 643_mask
'644': 644_matchstick
'645': 645_maypole
'646': 646_maze, labyrinth
'647': 647_measuring cup
'648': 648_medicine chest, medicine cabinet
'649': 649_megalith, megalithic structure
'650': 650_microphone, mike
'651': 651_microwave, microwave oven
'652': 652_military uniform
'653': 653_milk can
'654': 654_minibus
'655': 655_miniskirt, mini
'656': 656_minivan
'657': 657_missile
'658': 658_mitten
'659': 659_mixing bowl
'660': 660_mobile home, manufactured home
'661': 661_Model T
'662': 662_modem
'663': 663_monastery
'664': 664_monitor
'665': 665_moped
'666': 666_mortar
'667': 667_mortarboard
'668': 668_mosque
'669': 669_mosquito net
'670': 670_motor scooter, scooter
'671': 671_mountain bike, all-terrain bike, off-roader
'672': 672_mountain tent
'673': 673_mouse, computer mouse
'674': 674_mousetrap
'675': 675_moving van
'676': 676_muzzle
'677': 677_nail
'678': 678_neck brace
'679': 679_necklace
'680': 680_nipple
'681': 681_notebook, notebook computer
'682': 682_obelisk
'683': 683_oboe, hautboy, hautbois
'684': 684_ocarina, sweet potato
'685': 685_odometer, hodometer, mileometer, milometer
'686': 686_oil filter
'687': 687_organ, pipe organ
'688': 688_oscilloscope, scope, cathode-ray oscilloscope, CRO
'689': 689_overskirt
'690': 690_oxcart
'691': 691_oxygen mask
'692': 692_packet
'693': 693_paddle, boat paddle
'694': 694_paddlewheel, paddle wheel
'695': 695_padlock
'696': 696_paintbrush
'697': 697_pajama, pyjama, pj's, jammies
'698': 698_palace
'699': 699_panpipe, pandean pipe, syrinx
'700': 700_paper towel
'701': 701_parachute, chute
'702': 702_parallel bars, bars
'703': 703_park bench
'704': 704_parking meter
'705': 705_passenger car, coach, carriage
'706': 706_patio, terrace
'707': 707_pay-phone, pay-station
'708': 708_pedestal, plinth, footstall
'709': 709_pencil box, pencil case
'710': 710_pencil sharpener
'711': 711_perfume, essence
'712': 712_Petri dish
'713': 713_photocopier
'714': 714_pick, plectrum, plectron
'715': 715_pickelhaube
'716': 716_picket fence, paling
'717': 717_pickup, pickup truck
'718': 718_pier
'719': 719_piggy bank, penny bank
'720': 720_pill bottle
'721': 721_pillow
'722': 722_ping-pong ball
'723': 723_pinwheel
'724': 724_pirate, pirate ship
'725': 725_pitcher, ewer
'726': 726_plane, carpenter's plane, woodworking plane
'727': 727_planetarium
'728': 728_plastic bag
'729': 729_plate rack
'730': 730_plow, plough
'731': 731_plunger, plumber's helper
'732': 732_Polaroid camera, Polaroid Land camera
'733': 733_pole
'734': 734_police van, police wagon, paddy wagon, patrol wagon, wagon, black
Maria
'735': 735_poncho
'736': 736_pool table, billiard table, snooker table
'737': 737_pop bottle, soda bottle
'738': 738_pot, flowerpot
'739': 739_potter's wheel
'740': 740_power drill
'741': 741_prayer rug, prayer mat
'742': 742_printer
'743': 743_prison, prison house
'744': 744_projectile, missile
'745': 745_projector
'746': 746_puck, hockey puck
'747': 747_punching bag, punch bag, punching ball, punchball
'748': 748_purse
'749': 749_quill, quill pen
'750': 750_quilt, comforter, comfort, puff
'751': 751_racer, race car, racing car
'752': 752_racket, racquet
'753': 753_radiator
'754': 754_radio, wireless
'755': 755_radio telescope, radio reflector
'756': 756_rain barrel
'757': 757_recreational vehicle, RV, R.V.
'758': 758_reel
'759': 759_reflex camera
'760': 760_refrigerator, icebox
'761': 761_remote control, remote
'762': 762_restaurant, eating house, eating place, eatery
'763': 763_revolver, six-gun, six-shooter
'764': 764_rifle
'765': 765_rocking chair, rocker
'766': 766_rotisserie
'767': 767_rubber eraser, rubber, pencil eraser
'768': 768_rugby ball
'769': 769_rule, ruler
'770': 770_running shoe
'771': 771_safe
'772': 772_safety pin
'773': 773_saltshaker, salt shaker
'774': 774_sandal
'775': 775_sarong
'776': 776_sax, saxophone
'777': 777_scabbard
'778': 778_scale, weighing machine
'779': 779_school bus
'780': 780_schooner
'781': 781_scoreboard
'782': 782_screen, CRT screen
'783': 783_screw
'784': 784_screwdriver
'785': 785_seat belt, seatbelt
'786': 786_sewing machine
'787': 787_shield, buckler
'788': 788_shoe shop, shoe-shop, shoe store
'789': 789_shoji
'790': 790_shopping basket
'791': 791_shopping cart
'792': 792_shovel
'793': 793_shower cap
'794': 794_shower curtain
'795': 795_ski
'796': 796_ski mask
'797': 797_sleeping bag
'798': 798_slide rule, slipstick
'799': 799_sliding door
'800': 800_slot, one-armed bandit
'801': 801_snorkel
'802': 802_snowmobile
'803': 803_snowplow, snowplough
'804': 804_soap dispenser
'805': 805_soccer ball
'806': 806_sock
'807': 807_solar dish, solar collector, solar furnace
'808': 808_sombrero
'809': 809_soup bowl
'810': 810_space bar
'811': 811_space heater
'812': 812_space shuttle
'813': 813_spatula
'814': 814_speedboat
'815': 815_spider web, spider's web
'816': 816_spindle
'817': 817_sports car, sport car
'818': 818_spotlight, spot
'819': 819_stage
'820': 820_steam locomotive
'821': 821_steel arch bridge
'822': 822_steel drum
'823': 823_stethoscope
'824': 824_stole
'825': 825_stone wall
'826': 826_stopwatch, stop watch
'827': 827_stove
'828': 828_strainer
'829': 829_streetcar, tram, tramcar, trolley, trolley car
'830': 830_stretcher
'831': 831_studio couch, day bed
'832': 832_stupa, tope
'833': 833_submarine, pigboat, sub, U-boat
'834': 834_suit, suit of clothes
'835': 835_sundial
'836': 836_sunglass
'837': 837_sunglasses, dark glasses, shades
'838': 838_sunscreen, sunblock, sun blocker
'839': 839_suspension bridge
'840': 840_swab, swob, mop
'841': 841_sweatshirt
'842': 842_swimming trunks, bathing trunks
'843': 843_swing
'844': 844_switch, electric switch, electrical switch
'845': 845_syringe
'846': 846_table lamp
'847': 847_tank, army tank, armored combat vehicle, armoured combat vehicle
'848': 848_tape player
'849': 849_teapot
'850': 850_teddy, teddy bear
'851': 851_television, television system
'852': 852_tennis ball
'853': 853_thatch, thatched roof
'854': 854_theater curtain, theatre curtain
'855': 855_thimble
'856': 856_thresher, thrasher, threshing machine
'857': 857_throne
'858': 858_tile roof
'859': 859_toaster
'860': 860_tobacco shop, tobacconist shop, tobacconist
'861': 861_toilet seat
'862': 862_torch
'863': 863_totem pole
'864': 864_tow truck, tow car, wrecker
'865': 865_toyshop
'866': 866_tractor
'867': 867_trailer truck, tractor trailer, trucking rig, rig, articulated
lorry, semi
'868': 868_tray
'869': 869_trench coat
'870': 870_tricycle, trike, velocipede
'871': 871_trimaran
'872': 872_tripod
'873': 873_triumphal arch
'874': 874_trolleybus, trolley coach, trackless trolley
'875': 875_trombone
'876': 876_tub, vat
'877': 877_turnstile
'878': 878_typewriter keyboard
'879': 879_umbrella
'880': 880_unicycle, monocycle
'881': 881_upright, upright piano
'882': 882_vacuum, vacuum cleaner
'883': 883_vase
'884': 884_vault
'885': 885_velvet
'886': 886_vending machine
'887': 887_vestment
'888': 888_viaduct
'889': 889_violin, fiddle
'890': 890_volleyball
'891': 891_waffle iron
'892': 892_wall clock
'893': 893_wallet, billfold, notecase, pocketbook
'894': 894_wardrobe, closet, press
'895': 895_warplane, military plane
'896': 896_washbasin, handbasin, washbowl, lavabo, wash-hand basin
'897': 897_washer, automatic washer, washing machine
'898': 898_water bottle
'899': 899_water jug
'900': 900_water tower
'901': 901_whiskey jug
'902': 902_whistle
'903': 903_wig
'904': 904_window screen
'905': 905_window shade
'906': 906_Windsor tie
'907': 907_wine bottle
'908': 908_wing
'909': 909_wok
'910': 910_wooden spoon
'911': 911_wool, woolen, woollen
'912': 912_worm fence, snake fence, snake-rail fence, Virginia fence
'913': 913_wreck
'914': 914_yawl
'915': 915_yurt
'916': 916_web site, website, internet site, site
'917': 917_comic book
'918': 918_crossword puzzle, crossword
'919': 919_street sign
'920': 920_traffic light, traffic signal, stoplight
'921': 921_book jacket, dust cover, dust jacket, dust wrapper
'922': 922_menu
'923': 923_plate
'924': 924_guacamole
'925': 925_consomme
'926': 926_hot pot, hotpot
'927': 927_trifle
'928': 928_ice cream, icecream
'929': 929_ice lolly, lolly, lollipop, popsicle
'930': 930_French loaf
'931': 931_bagel, beigel
'932': 932_pretzel
'933': 933_cheeseburger
'934': 934_hotdog, hot dog, red hot
'935': 935_mashed potato
'936': 936_head cabbage
'937': 937_broccoli
'938': 938_cauliflower
'939': 939_zucchini, courgette
'940': 940_spaghetti squash
'941': 941_acorn squash
'942': 942_butternut squash
'943': 943_cucumber, cuke
'944': 944_artichoke, globe artichoke
'945': 945_bell pepper
'946': 946_cardoon
'947': 947_mushroom
'948': 948_Granny Smith
'949': 949_strawberry
'950': 950_orange
'951': 951_lemon
'952': 952_fig
'953': 953_pineapple, ananas
'954': 954_banana
'955': 955_jackfruit, jak, jack
'956': 956_custard apple
'957': 957_pomegranate
'958': 958_hay
'959': 959_carbonara
'960': 960_chocolate sauce, chocolate syrup
'961': 961_dough
'962': 962_meat loaf, meatloaf
'963': 963_pizza, pizza pie
'964': 964_potpie
'965': 965_burrito
'966': 966_red wine
'967': 967_espresso
'968': 968_cup
'969': 969_eggnog
'970': 970_alp
'971': 971_bubble
'972': 972_cliff, drop, drop-off
'973': 973_coral reef
'974': 974_geyser
'975': 975_lakeside, lakeshore
'976': 976_promontory, headland, head, foreland
'977': 977_sandbar, sand bar
'978': 978_seashore, coast, seacoast, sea-coast
'979': 979_valley, vale
'980': 980_volcano
'981': 981_ballplayer, baseball player
'982': 982_groom, bridegroom
'983': 983_scuba diver
'984': 984_rapeseed
'985': 985_daisy
'986': 986_yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus,
Cypripedium parviflorum
'987': 987_corn
'988': 988_acorn
'989': 989_hip, rose hip, rosehip
'990': 990_buckeye, horse chestnut, conker
'991': 991_coral fungus
'992': 992_agaric
'993': 993_gyromitra
'994': 994_stinkhorn, carrion fungus
'995': 995_earthstar
'996': 996_hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola
frondosa
'997': 997_bolete
'998': 998_ear, spike, capitulum
'999': 999_toilet tissue, toilet paper, bathroom tissue
- name: filename
dtype: string
splits:
- name: train
num_bytes: 3928704301.073
num_examples: 100001
download_size: 4355833197
dataset_size: 3928704301.073
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "stable-imagenet1k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |