metadata
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-*