---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': '01011001'
          '1': '01012001'
          '2': '01012002'
          '3': '01012003'
          '4': '01012004'
          '5': '01012005'
          '6': '01012006'
          '7': '01013001'
          '8': 01014008
          '9': 01014009
          '10': '01014010'
          '11': '01014011'
          '12': '01014012'
          '13': '01014013'
          '14': '01015002'
          '15': '01015003'
          '16': '01015012'
          '17': '01015013'
          '18': '01015014'
          '19': '01015015'
          '20': '01015016'
          '21': '01015017'
          '22': 01015018
          '23': 01015019
          '24': '01016001'
          '25': '01016002'
          '26': '01016003'
          '27': '01016004'
          '28': '01016005'
          '29': '01016006'
          '30': '01016007'
          '31': 01016008
          '32': '02011006'
          '33': '02011007'
          '34': 02011008
          '35': 02011009
          '36': '02011010'
          '37': '02011011'
          '38': '02011012'
          '39': '02011013'
          '40': '02011014'
          '41': '02011015'
          '42': '02011016'
          '43': '02011017'
          '44': 02011018
          '45': 02011019
          '46': '02011020'
          '47': '02011021'
          '48': '02011023'
          '49': '02011024'
          '50': '02011025'
          '51': '02011027'
          '52': 02011028
          '53': 02011029
          '54': '02011030'
          '55': '02011031'
          '56': '02011032'
          '57': '02011033'
          '58': '02011034'
          '59': '02011035'
          '60': '02011036'
          '61': '02011037'
          '62': 02011038
          '63': 02011039
          '64': '02011040'
          '65': '02012001'
          '66': '02012002'
          '67': '02012003'
          '68': '02012004'
          '69': '02012005'
          '70': '03011001'
          '71': '03011002'
          '72': '03011003'
          '73': '03011004'
          '74': '03011005'
          '75': '03011006'
          '76': '03011007'
          '77': 03011008
          '78': 03011009
          '79': '03011010'
          '80': '03011011'
          '81': '03012001'
          '82': '03012002'
          '83': '04011001'
          '84': '04011002'
          '85': '04011003'
          '86': '04011004'
          '87': '04011005'
          '88': '04011006'
          '89': '04011007'
          '90': 04011008
          '91': '04011010'
          '92': '04011011'
          '93': '04011012'
          '94': '04011013'
          '95': '04011014'
          '96': '04011015'
          '97': '04011016'
          '98': '04012001'
          '99': '04012002'
          '100': '04012003'
          '101': '04012004'
          '102': '04012005'
          '103': '04012006'
          '104': '04012007'
          '105': 04012008
          '106': 04012009
          '107': '04012010'
          '108': '04012011'
          '109': '04012012'
          '110': '04012013'
          '111': '04013002'
          '112': '04013003'
          '113': '04013004'
          '114': '04013005'
          '115': '04013006'
          '116': '04013007'
          '117': 04013008
          '118': 04013009
          '119': '04013010'
          '120': '04013011'
          '121': '04013012'
          '122': '04013013'
          '123': '04013014'
          '124': '04013015'
          '125': '04013017'
          '126': 04013018
          '127': 04013019
          '128': '04015003'
          '129': '04016001'
          '130': '04017001'
          '131': '04017002'
          '132': 04018001
          '133': 04018002
          '134': 04018003
          '135': 04018004
          '136': 04019001
          '137': 04019002
          '138': 04019003
          '139': 04019004
          '140': 04019005
          '141': 04019006
          '142': 04019007
          '143': 04019008
          '144': '05011001'
          '145': '05011002'
          '146': '05011004'
          '147': 05011008
          '148': '05011010'
          '149': '05011011'
          '150': '05011012'
          '151': '05012001'
          '152': '05012002'
          '153': '05012003'
          '154': '05012004'
          '155': '05012005'
          '156': '05013001'
          '157': '06012001'
          '158': '06012002'
          '159': '06012003'
          '160': '06012011'
          '161': '07011003'
          '162': '07011004'
          '163': '07012001'
          '164': '07012002'
          '165': '07012003'
          '166': '07013001'
          '167': '07013002'
          '168': '07013003'
          '169': '07013004'
          '170': '07013005'
          '171': '07013006'
          '172': '07013007'
          '173': 07013008
          '174': 07013009
          '175': '07013010'
          '176': '07013011'
          '177': 08011004
          '178': 08011005
          '179': 08011006
          '180': 08011007
          '181': 08011008
          '182': 08012001
          '183': 08012002
          '184': 08012003
          '185': 08012004
          '186': 08012005
          '187': 08012006
          '188': 08012007
          '189': 08012008
          '190': 08012009
          '191': 08012010
          '192': 08013001
          '193': 08013002
          '194': 08013003
          '195': 08013004
          '196': 08013005
          '197': 08013006
          '198': 08014001
          '199': 08014002
          '200': 08014003
          '201': 09012001
          '202': 09012002
          '203': 09013001
          '204': 09013002
          '205': 09014001
          '206': 09014002
          '207': 09014003
          '208': 09014004
          '209': 09015001
          '210': 09015002
          '211': 09015003
          '212': 09016001
          '213': '10011001'
          '214': '10011002'
          '215': '10011003'
          '216': '10011004'
          '217': '11011001'
          '218': '11011002'
          '219': '11011003'
          '220': '11011004'
          '221': '11011005'
          '222': '11011006'
          '223': '11011007'
          '224': '11011008'
          '225': '11011009'
          '226': '11011010'
          '227': '11011011'
          '228': '11012001'
          '229': '11012002'
          '230': '11012003'
          '231': '11012004'
          '232': '11013001'
          '233': '11013002'
          '234': '11013003'
          '235': '11013004'
          '236': '11013005'
          '237': '11013006'
          '238': '11013007'
          '239': '11013009'
          '240': '11013010'
          '241': '11013011'
          '242': '11013012'
          '243': '11014001'
          '244': '11014002'
          '245': '11014003'
          '246': '11014004'
          '247': '11014005'
          '248': '11014006'
          '249': '11014007'
          '250': '11014008'
          '251': '11014009'
          '252': '11014010'
          '253': '11015001'
          '254': '11015002'
          '255': '12011001'
          '256': '12011002'
          '257': '12011003'
          '258': '12011004'
          '259': '12011005'
          '260': '12011006'
          '261': '12011007'
          '262': '12011008'
          '263': '12011009'
          '264': '12011010'
          '265': '12011011'
          '266': '12011012'
          '267': '12011013'
          '268': '12011014'
          '269': '12011015'
          '270': '13011001'
          '271': '13011002'
          '272': '13011003'
          '273': '13011011'
          '274': '13011012'
          '275': '13012001'
          '276': '13012002'
          '277': '14011001'
          '278': '14011002'
          '279': '14011004'
          '280': '14011005'
          '281': '14012001'
          '282': '14012002'
          '283': '15011001'
          '284': '15011002'
          '285': '15011003'
          '286': '15011004'
          '287': '15011005'
          '288': '15011006'
          '289': '15011007'
          '290': '15011008'
          '291': '15011009'
          '292': '15011010'
          '293': '15011011'
          '294': '15011012'
          '295': '15011013'
          '296': '15011014'
          '297': '15011015'
          '298': '15011016'
          '299': '15011017'
          '300': '16011001'
          '301': '16011002'
          '302': '16011003'
          '303': '16011004'
          '304': '16011005'
          '305': '16011006'
  splits:
  - name: train
    num_bytes: 14812723538.728
    num_examples: 486839
  - name: test
    num_bytes: 33069619665.134
    num_examples: 21178
  - name: validation
    num_bytes: 33770989851.48
    num_examples: 21180
  download_size: 82692432131
  dataset_size: 81653333055.342
---
# Dataset Card for "aihub_food"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)