five

chaeso/food_chinese_2017

收藏
Hugging Face2023-01-26 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/chaeso/food_chinese_2017
下载链接
链接失效反馈
官方服务:
资源简介:
--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '100' '1': '101' '2': '102' '3': '103' '4': '104' '5': '105' '6': '106' '7': '107' '8': '108' '9': '109' '10': '110' '11': '111' '12': '112' '13': '113' '14': '114' '15': '115' '16': '116' '17': '117' '18': '118' '19': '119' '20': '12' '21': '120' '22': '121' '23': '122' '24': '123' '25': '124' '26': '125' '27': '126' '28': '127' '29': '128' '30': '129' '31': '13' '32': '130' '33': '131' '34': '132' '35': '133' '36': '134' '37': '135' '38': '136' '39': '137' '40': '138' '41': '139' '42': '14' '43': '140' '44': '141' '45': '142' '46': '143' '47': '144' '48': '145' '49': '146' '50': '147' '51': '148' '52': '149' '53': '15' '54': '150' '55': '151' '56': '152' '57': '153' '58': '154' '59': '155' '60': '156' '61': '157' '62': '158' '63': '159' '64': '16' '65': '160' '66': '161' '67': '162' '68': '163' '69': '164' '70': '165' '71': '166' '72': '167' '73': '168' '74': '169' '75': '17' '76': '170' '77': '171' '78': '172' '79': '173' '80': '174' '81': '175' '82': '176' '83': '177' '84': '178' '85': '179' '86': '18' '87': '180' '88': '181' '89': '182' '90': '183' '91': '184' '92': '185' '93': '186' '94': '187' '95': '188' '96': '189' '97': '19' '98': '190' '99': '191' '100': '192' '101': '193' '102': '194' '103': '195' '104': '196' '105': '197' '106': '198' '107': '199' '108': '20' '109': '200' '110': '201' '111': '202' '112': '203' '113': '204' '114': '205' '115': '206' '116': '207' '117': '208' '118': '209' '119': '21' '120': '210' '121': '211' '122': '212' '123': '213' '124': '214' '125': '215' '126': '216' '127': '217' '128': '218' '129': '219' '130': '22' '131': '220' '132': '221' '133': '222' '134': '223' '135': '224' '136': '225' '137': '226' '138': '227' '139': '228' '140': '229' '141': '23' '142': '230' '143': '231' '144': '232' '145': '233' '146': '234' '147': '235' '148': '236' '149': '237' '150': '238' '151': '239' '152': '24' '153': '240' '154': '241' '155': '242' '156': '243' '157': '244' '158': '245' '159': '246' '160': '247' '161': '248' '162': '249' '163': '25' '164': '250' '165': '251' '166': '252' '167': '253' '168': '254' '169': '255' '170': '256' '171': '26' '172': '27' '173': '28' '174': '29' '175': '3' '176': '30' '177': '31' '178': '32' '179': '33' '180': '34' '181': '35' '182': '36' '183': '37' '184': '38' '185': '39' '186': '4' '187': '40' '188': '41' '189': '42' '190': '43' '191': '44' '192': '45' '193': '46' '194': '47' '195': '48' '196': '49' '197': '50' '198': '51' '199': '52' '200': '53' '201': '54' '202': '55' '203': '56' '204': '57' '205': '58' '206': '59' '207': '60' '208': '61' '209': '62' '210': '63' '211': '64' '212': '65' '213': '66' '214': '67' '215': '68' '216': '69' '217': '70' '218': '71' '219': '72' '220': '73' '221': '74' '222': '75' '223': '76' '224': '77' '225': '78' '226': '79' '227': '8' '228': '80' '229': '81' '230': '82' '231': '83' '232': '84' '233': '85' '234': '86' '235': '87' '236': '88' '237': '89' '238': '9' '239': '90' '240': '91' '241': '92' '242': '93' '243': '94' '244': '95' '245': '96' '246': '97' '247': '98' '248': '99' '249': beef_currie '250': bibimbob '251': donburi '252': grilled_eel '253': rice '254': sushi '255': tendong splits: - name: train num_bytes: 408076826.985 num_examples: 31395 - name: test num_bytes: 135802193.08 num_examples: 6660 - name: validation num_bytes: 137529971.372 num_examples: 6734 download_size: 677961805 dataset_size: 681408991.437 --- # Dataset Card for "food_chinese_2017" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
chaeso
原始信息汇总

数据集概述

数据集名称

"food_chinese_2017"

数据集特征

  • image: 图像数据
  • label: 类别标签,包含多个类别,每个类别对应一个名称。

标签映射

  • 标签与名称的映射关系如下:
    • 0: 100
    • 1: 101
    • ...
    • 249: beef_currie
    • 250: bibimbob
    • 251: donburi
    • 252: grilled_eel
    • 253: rice
    • 254: sushi
    • 255: tendong

数据集划分

  • train: 训练集,包含31395个样本,总大小为408076826.985字节。
  • test: 测试集,包含6660个样本,总大小为135802193.08字节。
  • validation: 验证集,包含6734个样本,总大小为137529971.372字节。

数据集大小

  • 下载大小: 677961805字节
  • 数据集总大小: 681408991.437字节
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作