--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': ak47 '1': american-flag '2': backpack '3': baseball-bat '4': baseball-glove '5': basketball-hoop '6': bat '7': bathtub '8': bear '9': beer-mug '10': billiards '11': binoculars '12': birdbath '13': blimp '14': bonsai '15': boom-box '16': bowling-ball '17': bowling-pin '18': boxing-glove '19': brain '20': breadmaker '21': buddha '22': bulldozer '23': butterfly '24': cactus '25': cake '26': calculator '27': camel '28': cannon '29': canoe '30': car-tire '31': cartman '32': cd '33': centipede '34': cereal-box '35': chandelier '36': chess-board '37': chimp '38': chopsticks '39': cockroach '40': coffee-mug '41': coffin '42': coin '43': comet '44': computer-keyboard '45': computer-monitor '46': computer-mouse '47': conch '48': cormorant '49': covered-wagon '50': cowboy-hat '51': crab '52': desk-globe '53': diamond-ring '54': dice '55': dog '56': dolphin '57': doorknob '58': drinking-straw '59': duck '60': dumb-bell '61': eiffel-tower '62': electric-guitar '63': elephant '64': elk '65': ewer '66': eyeglasses '67': fern '68': fighter-jet '69': fire-extinguisher '70': fire-hydrant '71': fire-truck '72': fireworks '73': flashlight '74': floppy-disk '75': football-helmet '76': french-horn '77': fried-egg '78': frisbee '79': frog '80': frying-pan '81': galaxy '82': gas-pump '83': giraffe '84': goat '85': golden-gate-bridge '86': goldfish '87': golf-ball '88': goose '89': gorilla '90': grand-piano '91': grapes '92': grasshopper '93': guitar-pick '94': hamburger '95': hammock '96': harmonica '97': harp '98': harpsichord '99': hawksbill '100': head-phones '101': helicopter '102': hibiscus '103': homer-simpson '104': horse '105': horseshoe-crab '106': hot-air-balloon '107': hot-dog '108': hot-tub '109': hourglass '110': house-fly '111': human-skeleton '112': hummingbird '113': ibis '114': ice-cream-cone '115': iguana '116': ipod '117': iris '118': jesus-christ '119': joy-stick '120': kangaroo '121': kayak '122': ketch '123': killer-whale '124': knife '125': ladder '126': laptop '127': lathe '128': leopards '129': license-plate '130': lightbulb '131': light-house '132': lightning '133': llama '134': mailbox '135': mandolin '136': mars '137': mattress '138': megaphone '139': menorah '140': microscope '141': microwave '142': minaret '143': minotaur '144': motorbikes '145': mountain-bike '146': mushroom '147': mussels '148': necktie '149': octopus '150': ostrich '151': owl '152': palm-pilot '153': palm-tree '154': paperclip '155': paper-shredder '156': pci-card '157': penguin '158': people '159': pez-dispenser '160': photocopier '161': picnic-table '162': playing-card '163': porcupine '164': pram '165': praying-mantis '166': pyramid '167': raccoon '168': radio-telescope '169': rainbow '170': refrigerator '171': revolver '172': rifle '173': rotary-phone '174': roulette-wheel '175': saddle '176': saturn '177': school-bus '178': scorpion '179': screwdriver '180': segway '181': self-propelled-lawn-mower '182': sextant '183': sheet-music '184': skateboard '185': skunk '186': skyscraper '187': smokestack '188': snail '189': snake '190': sneaker '191': snowmobile '192': soccer-ball '193': socks '194': soda-can '195': spaghetti '196': speed-boat '197': spider '198': spoon '199': stained-glass '200': starfish '201': steering-wheel '202': stirrups '203': sunflower '204': superman '205': sushi '206': swan '207': swiss-army-knife '208': sword '209': syringe '210': tambourine '211': teapot '212': teddy-bear '213': teepee '214': telephone-box '215': tennis-ball '216': tennis-court '217': tennis-racket '218': theodolite '219': toaster '220': tomato '221': tombstone '222': top-hat '223': touring-bike '224': tower-pisa '225': traffic-light '226': treadmill '227': triceratops '228': tricycle '229': trilobite '230': tripod '231': t-shirt '232': tuning-fork '233': tweezer '234': umbrella '235': unicorn '236': vcr '237': video-projector '238': washing-machine '239': watch '240': waterfall '241': watermelon '242': welding-mask '243': wheelbarrow '244': windmill '245': wine-bottle '246': xylophone '247': yarmulke '248': yo-yo '249': zebra '250': airplanes '251': car-side '252': faces-easy '253': greyhound '254': tennis-shoes '255': toad '256': clutter splits: - name: train num_bytes: 1424392666.565 num_examples: 30607 download_size: 1146399556 dataset_size: 1424392666.565 configs: - config_name: default data_files: - split: train path: data/train-* ---