metadata
license: cc-by-nc-2.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '10'
'3': '100'
'4': '101'
'5': '102'
'6': '103'
'7': '104'
'8': '105'
'9': '106'
'10': '107'
'11': '108'
'12': '109'
'13': '11'
'14': '110'
'15': '111'
'16': '112'
'17': '113'
'18': '114'
'19': '115'
'20': '116'
'21': '117'
'22': '118'
'23': '119'
'24': '12'
'25': '120'
'26': '121'
'27': '122'
'28': '123'
'29': '124'
'30': '125'
'31': '126'
'32': '127'
'33': '128'
'34': '129'
'35': '13'
'36': '130'
'37': '131'
'38': '132'
'39': '133'
'40': '134'
'41': '135'
'42': '136'
'43': '137'
'44': '138'
'45': '139'
'46': '14'
'47': '140'
'48': '141'
'49': '142'
'50': '143'
'51': '144'
'52': '145'
'53': '146'
'54': '147'
'55': '148'
'56': '149'
'57': '15'
'58': '150'
'59': '151'
'60': '152'
'61': '153'
'62': '154'
'63': '155'
'64': '156'
'65': '157'
'66': '158'
'67': '159'
'68': '16'
'69': '160'
'70': '161'
'71': '162'
'72': '163'
'73': '164'
'74': '165'
'75': '166'
'76': '167'
'77': '168'
'78': '169'
'79': '17'
'80': '170'
'81': '171'
'82': '172'
'83': '173'
'84': '174'
'85': '175'
'86': '176'
'87': '177'
'88': '178'
'89': '179'
'90': '18'
'91': '180'
'92': '181'
'93': '182'
'94': '183'
'95': '184'
'96': '185'
'97': '186'
'98': '187'
'99': '188'
'100': '189'
'101': '19'
'102': '190'
'103': '191'
'104': '192'
'105': '193'
'106': '194'
'107': '195'
'108': '196'
'109': '197'
'110': '198'
'111': '199'
'112': '2'
'113': '20'
'114': '200'
'115': '201'
'116': '202'
'117': '203'
'118': '204'
'119': '205'
'120': '206'
'121': '207'
'122': '208'
'123': '209'
'124': '21'
'125': '210'
'126': '211'
'127': '212'
'128': '213'
'129': '214'
'130': '215'
'131': '216'
'132': '217'
'133': '218'
'134': '219'
'135': '22'
'136': '220'
'137': '221'
'138': '222'
'139': '223'
'140': '224'
'141': '225'
'142': '226'
'143': '227'
'144': '228'
'145': '229'
'146': '23'
'147': '230'
'148': '231'
'149': '232'
'150': '233'
'151': '234'
'152': '235'
'153': '236'
'154': '237'
'155': '238'
'156': '239'
'157': '24'
'158': '240'
'159': '241'
'160': '242'
'161': '243'
'162': '244'
'163': '245'
'164': '246'
'165': '247'
'166': '248'
'167': '249'
'168': '25'
'169': '250'
'170': '251'
'171': '252'
'172': '253'
'173': '254'
'174': '255'
'175': '256'
'176': '257'
'177': '258'
'178': '259'
'179': '26'
'180': '260'
'181': '261'
'182': '262'
'183': '263'
'184': '264'
'185': '265'
'186': '266'
'187': '267'
'188': '268'
'189': '269'
'190': '27'
'191': '270'
'192': '271'
'193': '272'
'194': '273'
'195': '274'
'196': '275'
'197': '276'
'198': '277'
'199': '278'
'200': '279'
'201': '28'
'202': '280'
'203': '281'
'204': '282'
'205': '283'
'206': '284'
'207': '285'
'208': '286'
'209': '287'
'210': '288'
'211': '289'
'212': '29'
'213': '290'
'214': '291'
'215': '292'
'216': '293'
'217': '294'
'218': '295'
'219': '296'
'220': '297'
'221': '298'
'222': '299'
'223': '3'
'224': '30'
'225': '300'
'226': '301'
'227': '302'
'228': '303'
'229': '304'
'230': '305'
'231': '306'
'232': '307'
'233': '308'
'234': '309'
'235': '31'
'236': '310'
'237': '311'
'238': '312'
'239': '313'
'240': '314'
'241': '315'
'242': '316'
'243': '317'
'244': '318'
'245': '319'
'246': '32'
'247': '320'
'248': '321'
'249': '322'
'250': '323'
'251': '324'
'252': '325'
'253': '326'
'254': '327'
'255': '328'
'256': '329'
'257': '33'
'258': '330'
'259': '331'
'260': '332'
'261': '333'
'262': '334'
'263': '335'
'264': '336'
'265': '337'
'266': '338'
'267': '339'
'268': '34'
'269': '340'
'270': '341'
'271': '342'
'272': '343'
'273': '344'
'274': '345'
'275': '346'
'276': '347'
'277': '348'
'278': '349'
'279': '35'
'280': '350'
'281': '351'
'282': '352'
'283': '353'
'284': '354'
'285': '355'
'286': '356'
'287': '357'
'288': '358'
'289': '359'
'290': '36'
'291': '360'
'292': '361'
'293': '362'
'294': '363'
'295': '364'
'296': '365'
'297': '366'
'298': '367'
'299': '368'
'300': '369'
'301': '37'
'302': '370'
'303': '371'
'304': '372'
'305': '373'
'306': '374'
'307': '375'
'308': '376'
'309': '377'
'310': '378'
'311': '379'
'312': '38'
'313': '380'
'314': '381'
'315': '382'
'316': '383'
'317': '384'
'318': '385'
'319': '386'
'320': '387'
'321': '388'
'322': '389'
'323': '39'
'324': '390'
'325': '391'
'326': '392'
'327': '393'
'328': '394'
'329': '395'
'330': '396'
'331': '397'
'332': '398'
'333': '399'
'334': '4'
'335': '40'
'336': '400'
'337': '401'
'338': '402'
'339': '403'
'340': '404'
'341': '405'
'342': '406'
'343': '407'
'344': '408'
'345': '409'
'346': '41'
'347': '410'
'348': '411'
'349': '412'
'350': '413'
'351': '414'
'352': '415'
'353': '416'
'354': '417'
'355': '418'
'356': '419'
'357': '42'
'358': '420'
'359': '421'
'360': '422'
'361': '423'
'362': '424'
'363': '425'
'364': '426'
'365': '427'
'366': '428'
'367': '429'
'368': '43'
'369': '430'
'370': '431'
'371': '432'
'372': '433'
'373': '434'
'374': '435'
'375': '436'
'376': '437'
'377': '438'
'378': '439'
'379': '44'
'380': '440'
'381': '441'
'382': '442'
'383': '443'
'384': '444'
'385': '445'
'386': '446'
'387': '447'
'388': '448'
'389': '449'
'390': '45'
'391': '450'
'392': '451'
'393': '452'
'394': '453'
'395': '454'
'396': '455'
'397': '456'
'398': '457'
'399': '458'
'400': '459'
'401': '46'
'402': '460'
'403': '461'
'404': '462'
'405': '463'
'406': '464'
'407': '465'
'408': '466'
'409': '467'
'410': '468'
'411': '469'
'412': '47'
'413': '470'
'414': '471'
'415': '472'
'416': '473'
'417': '474'
'418': '475'
'419': '476'
'420': '477'
'421': '478'
'422': '479'
'423': '48'
'424': '480'
'425': '49'
'426': '5'
'427': '50'
'428': '51'
'429': '52'
'430': '53'
'431': '54'
'432': '55'
'433': '56'
'434': '57'
'435': '58'
'436': '59'
'437': '6'
'438': '60'
'439': '61'
'440': '62'
'441': '63'
'442': '64'
'443': '65'
'444': '66'
'445': '67'
'446': '68'
'447': '69'
'448': '7'
'449': '70'
'450': '71'
'451': '72'
'452': '73'
'453': '74'
'454': '75'
'455': '76'
'456': '77'
'457': '78'
'458': '79'
'459': '8'
'460': '80'
'461': '81'
'462': '82'
'463': '83'
'464': '84'
'465': '85'
'466': '86'
'467': '87'
'468': '88'
'469': '89'
'470': '9'
'471': '90'
'472': '91'
'473': '92'
'474': '93'
'475': '94'
'476': '95'
'477': '96'
'478': '97'
'479': '98'
'480': '99'
splits:
- name: train
num_bytes: 1797665726
num_examples: 962
download_size: 1522750448
dataset_size: 1797665726