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



