metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': bonnet, poke bonnet
'1': green mamba
'2': langur
'3': Doberman, Doberman pinscher
'4': gyromitra
'5': Saluki, gazelle hound
'6': vacuum, vacuum cleaner
'7': window screen
'8': cocktail shaker
'9': garden spider, Aranea diademata
'10': garter snake, grass snake
'11': carbonara
'12': pineapple, ananas
'13': computer keyboard, keypad
'14': tripod
'15': komondor
'16': >-
American lobster, Northern lobster, Maine lobster, Homarus
americanus
'17': bannister, banister, balustrade, balusters, handrail
'18': honeycomb
'19': tile roof
'20': papillon
'21': boathouse
'22': stinkhorn, carrion fungus
'23': jean, blue jean, denim
'24': Chihuahua
'25': Chesapeake Bay retriever
'26': robin, American robin, Turdus migratorius
'27': tub, vat
'28': Great Dane
'29': rotisserie
'30': bottlecap
'31': throne
'32': little blue heron, Egretta caerulea
'33': rock crab, Cancer irroratus
'34': Rottweiler
'35': lorikeet
'36': Gila monster, Heloderma suspectum
'37': head cabbage
'38': car wheel
'39': coyote, prairie wolf, brush wolf, Canis latrans
'40': moped
'41': milk can
'42': mixing bowl
'43': toy terrier
'44': chocolate sauce, chocolate syrup
'45': rocking chair, rocker
'46': wing
'47': park bench
'48': ambulance
'49': football helmet
'50': leafhopper
'51': cauliflower
'52': pirate, pirate ship
'53': purse
'54': hare
'55': lampshade, lamp shade
'56': fiddler crab
'57': standard poodle
'58': Shih-Tzu
'59': pedestal, plinth, footstall
'60': gibbon, Hylobates lar
'61': safety pin
'62': English foxhound
'63': chime, bell, gong
'64': >-
American Staffordshire terrier, Staffordshire terrier, American
pit bull terrier, pit bull terrier
'65': bassinet
'66': wild boar, boar, Sus scrofa
'67': theater curtain, theatre curtain
'68': dung beetle
'69': hognose snake, puff adder, sand viper
'70': Mexican hairless
'71': mortarboard
'72': Walker hound, Walker foxhound
'73': red fox, Vulpes vulpes
'74': modem
'75': slide rule, slipstick
'76': walking stick, walkingstick, stick insect
'77': cinema, movie theater, movie theatre, movie house, picture palace
'78': meerkat, mierkat
'79': kuvasz
'80': obelisk
'81': harmonica, mouth organ, harp, mouth harp
'82': sarong
'83': mousetrap
'84': hard disc, hard disk, fixed disk
'85': American coot, marsh hen, mud hen, water hen, Fulica americana
'86': reel
'87': pickup, pickup truck
'88': iron, smoothing iron
'89': tabby, tabby cat
'90': ski mask
'91': vizsla, Hungarian pointer
'92': laptop, laptop computer
'93': stretcher
'94': Dutch oven
'95': African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus
'96': boxer
'97': gasmask, respirator, gas helmet
'98': goose
'99': borzoi, Russian wolfhound
splits:
- name: train
num_bytes: 7404392333.10738
num_examples: 115996
download_size: 7388265666
dataset_size: 7404392333.10738
configs:
- config_name: default
data_files:
- split: train
path: data/train-*