metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
'15': '15'
'16': '16'
'17': '17'
'18': '18'
'19': '19'
'20': '20'
'21': '21'
'22': '22'
'23': '23'
'24': '24'
'25': '25'
'26': '26'
'27': '27'
'28': '28'
'29': '29'
'30': '30'
'31': '31'
'32': '32'
'33': '33'
'34': '34'
'35': '35'
'36': '36'
'37': '37'
'38': '38'
'39': '39'
'40': '40'
'41': '41'
'42': '42'
'43': '43'
'44': '44'
'45': '45'
'46': '46'
'47': '47'
'48': '48'
'49': '49'
'50': '50'
'51': '51'
'52': '52'
'53': '53'
'54': '54'
'55': '55'
'56': '56'
'57': '57'
'58': '58'
'59': '59'
'60': '60'
'61': '61'
'62': '62'
'63': '63'
'64': '64'
'65': '65'
'66': '66'
'67': '67'
'68': '68'
'69': '69'
'70': '70'
'71': '71'
'72': '72'
'73': '73'
'74': '74'
'75': '75'
'76': '76'
'77': '77'
'78': '78'
'79': '79'
'80': '80'
'81': '81'
'82': '82'
'83': '83'
'84': '84'
'85': '85'
'86': '86'
'87': '87'
'88': '88'
'89': '89'
'90': '90'
'91': '91'
'92': '92'
'93': '93'
'94': '94'
'95': '95'
'96': '96'
'97': '97'
'98': '98'
'99': '99'
- name: label_text
dtype:
class_label:
names:
'0': boxing ring
'1': car interior
'2': bamboo forest
'3': cockpit
'4': auto showroom
'5': phone booth
'6': arena hockey
'7': basketball court indoor
'8': wind farm
'9': bowling alley
'10': waterfall
'11': windmill
'12': lighthouse
'13': raft
'14': volleyball court outdoor
'15': carrousel
'16': martial arts gym
'17': raceway
'18': rock arch
'19': underwater ocean deep
'20': veterinarians office
'21': army base
'22': bus station indoor
'23': fire escape
'24': florist shop indoor
'25': baseball field
'26': throne room
'27': ball pit
'28': landing deck
'29': airplane cabin
'30': gymnasium indoor
'31': racecourse
'32': sandbox
'33': vineyard
'34': arena rodeo
'35': sauna
'36': soccer field
'37': synagogue outdoor
'38': water tower
'39': amusement arcade
'40': bullring
'41': escalator indoor
'42': hangar indoor
'43': nursery
'44': orchestra pit
'45': playground
'46': rope bridge
'47': swimming pool outdoor
'48': cemetery
'49': junkyard
'50': kasbah
'51': kennel outdoor
'52': oilrig
'53': shoe shop
'54': stadium baseball
'55': church indoor
'56': corral
'57': dam
'58': iceberg
'59': landfill
'60': locker room
'61': operating room
'62': railroad track
'63': bow window indoor
'64': crevasse
'65': grotto
'66': jewelry shop
'67': rice paddy
'68': ski slope
'69': swimming pool indoor
'70': attic
'71': bus interior
'72': campsite
'73': forest road
'74': laundromat
'75': pond
'76': dining hall
'77': stadium football
'78': gift shop
'79': restaurant
'80': drugstore
'81': artists loft
'82': flea market indoor
'83': museum outdoor
'84': palace
'85': arch
'86': ocean
'87': office building
'88': house
'89': coast
'90': mountain
'91': valley
'92': building facade
'93': cafeteria
'94': desert sand
'95': river
'96': desert vegetation
'97': desert road
'98': field wild
'99': field road
splits:
- name: train
num_bytes: 6140271410
num_examples: 100000
- name: test
num_bytes: 612257744
num_examples: 10000
download_size: 6752306001
dataset_size: 6752529154
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*