metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': house finch, linnet, Carpodacus mexicanus
'1': robin, American robin, Turdus migratorius
'2': triceratops
'3': green mamba
'4': harvestman, daddy longlegs, Phalangium opilio
'5': toucan
'6': goose
'7': jellyfish
'8': nematode, nematode worm, roundworm
'9': >-
king crab, Alaska crab, Alaskan king crab, Alaska king crab,
Paralithodes camtschatica
'10': dugong, Dugong dugon
'11': Walker hound, Walker foxhound
'12': Ibizan hound, Ibizan Podenco
'13': Saluki, gazelle hound
'14': golden retriever
'15': Gordon setter
'16': komondor
'17': boxer
'18': Tibetan mastiff
'19': French bulldog
'20': malamute, malemute, Alaskan malamute
'21': dalmatian, coach dog, carriage dog
'22': Newfoundland, Newfoundland dog
'23': miniature poodle
'24': white wolf, Arctic wolf, Canis lupus tundrarum
'25': African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus
'26': Arctic fox, white fox, Alopex lagopus
'27': lion, king of beasts, Panthera leo
'28': meerkat, mierkat
'29': ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle
'30': rhinoceros beetle
'31': ant, emmet, pismire
'32': black-footed ferret, ferret, Mustela nigripes
'33': three-toed sloth, ai, Bradypus tridactylus
'34': rock beauty, Holocanthus tricolor
'35': aircraft carrier, carrier, flattop, attack aircraft carrier
'36': >-
ashcan, trash can, garbage can, wastebin, ash bin, ash-bin,
ashbin, dustbin, trash barrel, trash bin
'37': barrel, cask
'38': beer bottle
'39': bookshop, bookstore, bookstall
'40': cannon
'41': carousel, carrousel, merry-go-round, roundabout, whirligig
'42': carton
'43': catamaran
'44': chime, bell, gong
'45': clog, geta, patten, sabot
'46': cocktail shaker
'47': combination lock
'48': crate
'49': cuirass
'50': dishrag, dishcloth
'51': dome
'52': electric guitar
'53': file, file cabinet, filing cabinet
'54': fire screen, fireguard
'55': frying pan, frypan, skillet
'56': garbage truck, dustcart
'57': hair slide
'58': holster
'59': horizontal bar, high bar
'60': hourglass
'61': iPod
'62': lipstick, lip rouge
'63': miniskirt, mini
'64': missile
'65': mixing bowl
'66': oboe, hautboy, hautbois
'67': organ, pipe organ
'68': parallel bars, bars
'69': pencil box, pencil case
'70': photocopier
'71': poncho
'72': prayer rug, prayer mat
'73': reel
'74': school bus
'75': scoreboard
'76': slot, one-armed bandit
'77': snorkel
'78': solar dish, solar collector, solar furnace
'79': spider web, spider's web
'80': stage
'81': tank, army tank, armored combat vehicle, armoured combat vehicle
'82': theater curtain, theatre curtain
'83': tile roof
'84': tobacco shop, tobacconist shop, tobacconist
'85': unicycle, monocycle
'86': upright, upright piano
'87': vase
'88': wok
'89': worm fence, snake fence, snake-rail fence, Virginia fence
'90': yawl
'91': street sign
'92': consomme
'93': trifle
'94': hotdog, hot dog, red hot
'95': orange
'96': cliff, drop, drop-off
'97': coral reef
'98': bolete
'99': ear, spike, capitulum
splits:
- name: train
num_bytes: 5661216817
num_examples: 50000
- name: validation
num_bytes: 1127476741
num_examples: 10000
- name: test
num_bytes: 663008304
num_examples: 5000
download_size: 7433313256
dataset_size: 7451701862
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*