--- 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)