mcimpoi/alot

---
task_categories:
- image-classification
language:
- en
pretty_name: Amsterdam Library of Textures (ALOT)
size_categories:
- 10K<n<100K
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '1'
'1': '10'
'2': '100'
'3': '101'
'4': '102'
'5': '103'
'6': '104'
'7': '105'
'8': '106'
'9': '107'
'10': '108'
'11': '109'
'12': '11'
'13': '110'
'14': '111'
'15': '112'
'16': '113'
'17': '114'
'18': '115'
'19': '116'
'20': '117'
'21': '118'
'22': '119'
'23': '12'
'24': '120'
'25': '121'
'26': '122'
'27': '123'
'28': '124'
'29': '125'
'30': '126'
'31': '127'
'32': '128'
'33': '129'
'34': '13'
'35': '130'
'36': '131'
'37': '132'
'38': '133'
'39': '134'
'40': '135'
'41': '136'
'42': '137'
'43': '138'
'44': '139'
'45': '14'
'46': '140'
'47': '141'
'48': '142'
'49': '143'
'50': '144'
'51': '145'
'52': '146'
'53': '147'
'54': '148'
'55': '149'
'56': '15'
'57': '150'
'58': '151'
'59': '152'
'60': '153'
'61': '154'
'62': '155'
'63': '156'
'64': '157'
'65': '158'
'66': '159'
'67': '16'
'68': '160'
'69': '161'
'70': '162'
'71': '163'
'72': '164'
'73': '165'
'74': '166'
'75': '167'
'76': '168'
'77': '169'
'78': '17'
'79': '170'
'80': '171'
'81': '172'
'82': '173'
'83': '174'
'84': '175'
'85': '176'
'86': '177'
'87': '178'
'88': '179'
'89': '18'
'90': '180'
'91': '181'
'92': '182'
'93': '183'
'94': '184'
'95': '185'
'96': '186'
'97': '187'
'98': '188'
'99': '189'
'100': '19'
'101': '190'
'102': '191'
'103': '192'
'104': '193'
'105': '194'
'106': '195'
'107': '196'
'108': '197'
'109': '198'
'110': '199'
'111': '2'
'112': '20'
'113': '200'
'114': '201'
'115': '202'
'116': '203'
'117': '204'
'118': '205'
'119': '206'
'120': '207'
'121': '208'
'122': '209'
'123': '21'
'124': '210'
'125': '211'
'126': '212'
'127': '213'
'128': '214'
'129': '215'
'130': '216'
'131': '217'
'132': '218'
'133': '219'
'134': '22'
'135': '220'
'136': '221'
'137': '222'
'138': '223'
'139': '224'
'140': '225'
'141': '226'
'142': '227'
'143': '228'
'144': '229'
'145': '23'
'146': '230'
'147': '231'
'148': '232'
'149': '233'
'150': '234'
'151': '235'
'152': '236'
'153': '237'
'154': '238'
'155': '239'
'156': '24'
'157': '240'
'158': '241'
'159': '242'
'160': '243'
'161': '244'
'162': '245'
'163': '246'
'164': '247'
'165': '248'
'166': '249'
'167': '25'
'168': '250'
'169': '26'
'170': '27'
'171': '28'
'172': '29'
'173': '3'
'174': '30'
'175': '31'
'176': '32'
'177': '33'
'178': '34'
'179': '35'
'180': '36'
'181': '37'
'182': '38'
'183': '39'
'184': '4'
'185': '40'
'186': '41'
'187': '42'
'188': '43'
'189': '44'
'190': '45'
'191': '46'
'192': '47'
'193': '48'
'194': '49'
'195': '5'
'196': '50'
'197': '51'
'198': '52'
'199': '53'
'200': '54'
'201': '55'
'202': '56'
'203': '57'
'204': '58'
'205': '59'
'206': '6'
'207': '60'
'208': '61'
'209': '62'
'210': '63'
'211': '64'
'212': '65'
'213': '66'
'214': '67'
'215': '68'
'216': '69'
'217': '7'
'218': '70'
'219': '71'
'220': '72'
'221': '73'
'222': '74'
'223': '75'
'224': '76'
'225': '77'
'226': '78'
'227': '79'
'228': '8'
'229': '80'
'230': '81'
'231': '82'
'232': '83'
'233': '84'
'234': '85'
'235': '86'
'236': '87'
'237': '88'
'238': '89'
'239': '9'
'240': '90'
'241': '91'
'242': '92'
'243': '93'
'244': '94'
'245': '95'
'246': '96'
'247': '97'
'248': '98'
'249': '99'
splits:
- name: train
num_bytes: 3302794460.0
num_examples: 20000
- name: test
num_bytes: 411146945.0
num_examples: 2500
- name: dev
num_bytes: 415575782.5
num_examples: 2500
download_size: 4104421810
dataset_size: 4129517187.5
---

# Dataset Card for Amsterdam Library of Textures (ALOT)

## Dataset Description

- **Homepage:** https://aloi.science.uva.nl/public_alot/
- **Paper:** G. J. Burghouts and J. M. Geusebroek, Material-specific adaptation of color invariant features,
Pattern Recognition Letters, vol. 30, 306-313, 2009
### Licensing Information
Not known, see website
### Citation Information
@article{burghouts2009material,
title={Material-specific adaptation of color invariant features},
author={Burghouts, Gertjan J and Geusebroek, Jan-Mark},
journal={Pattern Recognition Letters},
volume={30},
number={3},
pages={306--313},
year={2009},
publisher={Elsevier}
}

原始信息汇总

数据集概述

基本信息

• 名称: Amsterdam Library of Textures (ALOT)
• 任务类别: 图像分类
• 语言: 英语
• 大小: 10K<n<100K

数据集特征

• 特征:
  • 图像: 数据类型为图像
  • 标签: 数据类型为类别标签，包含详细的类别名称映射

数据集拆分

• 训练集: 20000个样本，占用3302794460字节
• 测试集: 2500个样本，占用411146945字节
• 验证集: 2500个样本，占用415575782.5字节

数据集大小

• 下载大小: 4104421810字节
• 数据集总大小: 4129517187.5字节