p1atdev/FractalDB-1k
收藏Hugging Face2024-02-12 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/p1atdev/FractalDB-1k
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资源简介:
---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '00000'
'1': '00001'
'2': '00002'
'3': '00003'
'4': '00004'
'5': '00005'
'6': '00006'
'7': '00007'
'8': 8
'9': 9
'10': '00010'
'11': '00011'
'12': '00012'
'13': '00013'
'14': '00014'
'15': '00015'
'16': '00016'
'17': '00017'
'18': 18
'19': 19
'20': '00020'
'21': '00021'
'22': '00022'
'23': '00023'
'24': '00024'
'25': '00025'
'26': '00026'
'27': '00027'
'28': 28
'29': 29
'30': '00030'
'31': '00031'
'32': '00032'
'33': '00033'
'34': '00034'
'35': '00035'
'36': '00036'
'37': '00037'
'38': 38
'39': 39
'40': '00040'
'41': '00041'
'42': '00042'
'43': '00043'
'44': '00044'
'45': '00045'
'46': '00046'
'47': '00047'
'48': 48
'49': 49
'50': '00050'
'51': '00051'
'52': '00052'
'53': '00053'
'54': '00054'
'55': '00055'
'56': '00056'
'57': '00057'
'58': 58
'59': 59
'60': '00060'
'61': '00061'
'62': '00062'
'63': '00063'
'64': '00064'
'65': '00065'
'66': '00066'
'67': '00067'
'68': 68
'69': 69
'70': '00070'
'71': '00071'
'72': '00072'
'73': '00073'
'74': '00074'
'75': '00075'
'76': '00076'
'77': '00077'
'78': 78
'79': 79
'80': 80
'81': 81
'82': 82
'83': 83
'84': 84
'85': 85
'86': 86
'87': 87
'88': 88
'89': 89
'90': 90
'91': 91
'92': 92
'93': 93
'94': 94
'95': 95
'96': 96
'97': 97
'98': 98
'99': 99
'100': '00100'
'101': '00101'
'102': '00102'
'103': '00103'
'104': '00104'
'105': '00105'
'106': '00106'
'107': '00107'
'108': 108
'109': 109
'110': '00110'
'111': '00111'
'112': '00112'
'113': '00113'
'114': '00114'
'115': '00115'
'116': '00116'
'117': '00117'
'118': 118
'119': 119
'120': '00120'
'121': '00121'
'122': '00122'
'123': '00123'
'124': '00124'
'125': '00125'
'126': '00126'
'127': '00127'
'128': 128
'129': 129
'130': '00130'
'131': '00131'
'132': '00132'
'133': '00133'
'134': '00134'
'135': '00135'
'136': '00136'
'137': '00137'
'138': 138
'139': 139
'140': '00140'
'141': '00141'
'142': '00142'
'143': '00143'
'144': '00144'
'145': '00145'
'146': '00146'
'147': '00147'
'148': 148
'149': 149
'150': '00150'
'151': '00151'
'152': '00152'
'153': '00153'
'154': '00154'
'155': '00155'
'156': '00156'
'157': '00157'
'158': 158
'159': 159
'160': '00160'
'161': '00161'
'162': '00162'
'163': '00163'
'164': '00164'
'165': '00165'
'166': '00166'
'167': '00167'
'168': 168
'169': 169
'170': '00170'
'171': '00171'
'172': '00172'
'173': '00173'
'174': '00174'
'175': '00175'
'176': '00176'
'177': '00177'
'178': 178
'179': 179
'180': 180
'181': 181
'182': 182
'183': 183
'184': 184
'185': 185
'186': 186
'187': 187
'188': 188
'189': 189
'190': 190
'191': 191
'192': 192
'193': 193
'194': 194
'195': 195
'196': 196
'197': 197
'198': 198
'199': 199
'200': '00200'
'201': '00201'
'202': '00202'
'203': '00203'
'204': '00204'
'205': '00205'
'206': '00206'
'207': '00207'
'208': 208
'209': 209
'210': '00210'
'211': '00211'
'212': '00212'
'213': '00213'
'214': '00214'
'215': '00215'
'216': '00216'
'217': '00217'
'218': 218
'219': 219
'220': '00220'
'221': '00221'
'222': '00222'
'223': '00223'
'224': '00224'
'225': '00225'
'226': '00226'
'227': '00227'
'228': 228
'229': 229
'230': '00230'
'231': '00231'
'232': '00232'
'233': '00233'
'234': '00234'
'235': '00235'
'236': '00236'
'237': '00237'
'238': 238
'239': 239
'240': '00240'
'241': '00241'
'242': '00242'
'243': '00243'
'244': '00244'
'245': '00245'
'246': '00246'
'247': '00247'
'248': 248
'249': 249
'250': '00250'
'251': '00251'
'252': '00252'
'253': '00253'
'254': '00254'
'255': '00255'
'256': '00256'
'257': '00257'
'258': 258
'259': 259
'260': '00260'
'261': '00261'
'262': '00262'
'263': '00263'
'264': '00264'
'265': '00265'
'266': '00266'
'267': '00267'
'268': 268
'269': 269
'270': '00270'
'271': '00271'
'272': '00272'
'273': '00273'
'274': '00274'
'275': '00275'
'276': '00276'
'277': '00277'
'278': 278
'279': 279
'280': 280
'281': 281
'282': 282
'283': 283
'284': 284
'285': 285
'286': 286
'287': 287
'288': 288
'289': 289
'290': 290
'291': 291
'292': 292
'293': 293
'294': 294
'295': 295
'296': 296
'297': 297
'298': 298
'299': 299
'300': '00300'
'301': '00301'
'302': '00302'
'303': '00303'
'304': '00304'
'305': '00305'
'306': '00306'
'307': '00307'
'308': 308
'309': 309
'310': '00310'
'311': '00311'
'312': '00312'
'313': '00313'
'314': '00314'
'315': '00315'
'316': '00316'
'317': '00317'
'318': 318
'319': 319
'320': '00320'
'321': '00321'
'322': '00322'
'323': '00323'
'324': '00324'
'325': '00325'
'326': '00326'
'327': '00327'
'328': 328
'329': 329
'330': '00330'
'331': '00331'
'332': '00332'
'333': '00333'
'334': '00334'
'335': '00335'
'336': '00336'
'337': '00337'
'338': 338
'339': 339
'340': '00340'
'341': '00341'
'342': '00342'
'343': '00343'
'344': '00344'
'345': '00345'
'346': '00346'
'347': '00347'
'348': 348
'349': 349
'350': '00350'
'351': '00351'
'352': '00352'
'353': '00353'
'354': '00354'
'355': '00355'
'356': '00356'
'357': '00357'
'358': 358
'359': 359
'360': '00360'
'361': '00361'
'362': '00362'
'363': '00363'
'364': '00364'
'365': '00365'
'366': '00366'
'367': '00367'
'368': 368
'369': 369
'370': '00370'
'371': '00371'
'372': '00372'
'373': '00373'
'374': '00374'
'375': '00375'
'376': '00376'
'377': '00377'
'378': 378
'379': 379
'380': 380
'381': 381
'382': 382
'383': 383
'384': 384
'385': 385
'386': 386
'387': 387
'388': 388
'389': 389
'390': 390
'391': 391
'392': 392
'393': 393
'394': 394
'395': 395
'396': 396
'397': 397
'398': 398
'399': 399
'400': '00400'
'401': '00401'
'402': '00402'
'403': '00403'
'404': '00404'
'405': '00405'
'406': '00406'
'407': '00407'
'408': 408
'409': 409
'410': '00410'
'411': '00411'
'412': '00412'
'413': '00413'
'414': '00414'
'415': '00415'
'416': '00416'
'417': '00417'
'418': 418
'419': 419
'420': '00420'
'421': '00421'
'422': '00422'
'423': '00423'
'424': '00424'
'425': '00425'
'426': '00426'
'427': '00427'
'428': 428
'429': 429
'430': '00430'
'431': '00431'
'432': '00432'
'433': '00433'
'434': '00434'
'435': '00435'
'436': '00436'
'437': '00437'
'438': 438
'439': 439
'440': '00440'
'441': '00441'
'442': '00442'
'443': '00443'
'444': '00444'
'445': '00445'
'446': '00446'
'447': '00447'
'448': 448
'449': 449
'450': '00450'
'451': '00451'
'452': '00452'
'453': '00453'
'454': '00454'
'455': '00455'
'456': '00456'
'457': '00457'
'458': 458
'459': 459
'460': '00460'
'461': '00461'
'462': '00462'
'463': '00463'
'464': '00464'
'465': '00465'
'466': '00466'
'467': '00467'
'468': 468
'469': 469
'470': '00470'
'471': '00471'
'472': '00472'
'473': '00473'
'474': '00474'
'475': '00475'
'476': '00476'
'477': '00477'
'478': 478
'479': 479
'480': 480
'481': 481
'482': 482
'483': 483
'484': 484
'485': 485
'486': 486
'487': 487
'488': 488
'489': 489
'490': 490
'491': 491
'492': 492
'493': 493
'494': 494
'495': 495
'496': 496
'497': 497
'498': 498
'499': 499
'500': '00500'
'501': '00501'
'502': '00502'
'503': '00503'
'504': '00504'
'505': '00505'
'506': '00506'
'507': '00507'
'508': 508
'509': 509
'510': '00510'
'511': '00511'
'512': '00512'
'513': '00513'
'514': '00514'
'515': '00515'
'516': '00516'
'517': '00517'
'518': 518
'519': 519
'520': '00520'
'521': '00521'
'522': '00522'
'523': '00523'
'524': '00524'
'525': '00525'
'526': '00526'
'527': '00527'
'528': 528
'529': 529
'530': '00530'
'531': '00531'
'532': '00532'
'533': '00533'
'534': '00534'
'535': '00535'
'536': '00536'
'537': '00537'
'538': 538
'539': 539
'540': '00540'
'541': '00541'
'542': '00542'
'543': '00543'
'544': '00544'
'545': '00545'
'546': '00546'
'547': '00547'
'548': 548
'549': 549
'550': '00550'
'551': '00551'
'552': '00552'
'553': '00553'
'554': '00554'
'555': '00555'
'556': '00556'
'557': '00557'
'558': 558
'559': 559
'560': '00560'
'561': '00561'
'562': '00562'
'563': '00563'
'564': '00564'
'565': '00565'
'566': '00566'
'567': '00567'
'568': 568
'569': 569
'570': '00570'
'571': '00571'
'572': '00572'
'573': '00573'
'574': '00574'
'575': '00575'
'576': '00576'
'577': '00577'
'578': 578
'579': 579
'580': 580
'581': 581
'582': 582
'583': 583
'584': 584
'585': 585
'586': 586
'587': 587
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'589': 589
'590': 590
'591': 591
'592': 592
'593': 593
'594': 594
'595': 595
'596': 596
'597': 597
'598': 598
'599': 599
'600': '00600'
'601': '00601'
'602': '00602'
'603': '00603'
'604': '00604'
'605': '00605'
'606': '00606'
'607': '00607'
'608': 608
'609': 609
'610': '00610'
'611': '00611'
'612': '00612'
'613': '00613'
'614': '00614'
'615': '00615'
'616': '00616'
'617': '00617'
'618': 618
'619': 619
'620': '00620'
'621': '00621'
'622': '00622'
'623': '00623'
'624': '00624'
'625': '00625'
'626': '00626'
'627': '00627'
'628': 628
'629': 629
'630': '00630'
'631': '00631'
'632': '00632'
'633': '00633'
'634': '00634'
'635': '00635'
'636': '00636'
'637': '00637'
'638': 638
'639': 639
'640': '00640'
'641': '00641'
'642': '00642'
'643': '00643'
'644': '00644'
'645': '00645'
'646': '00646'
'647': '00647'
'648': 648
'649': 649
'650': '00650'
'651': '00651'
'652': '00652'
'653': '00653'
'654': '00654'
'655': '00655'
'656': '00656'
'657': '00657'
'658': 658
'659': 659
'660': '00660'
'661': '00661'
'662': '00662'
'663': '00663'
'664': '00664'
'665': '00665'
'666': '00666'
'667': '00667'
'668': 668
'669': 669
'670': '00670'
'671': '00671'
'672': '00672'
'673': '00673'
'674': '00674'
'675': '00675'
'676': '00676'
'677': '00677'
'678': 678
'679': 679
'680': 680
'681': 681
'682': 682
'683': 683
'684': 684
'685': 685
'686': 686
'687': 687
'688': 688
'689': 689
'690': 690
'691': 691
'692': 692
'693': 693
'694': 694
'695': 695
'696': 696
'697': 697
'698': 698
'699': 699
'700': '00700'
'701': '00701'
'702': '00702'
'703': '00703'
'704': '00704'
'705': '00705'
'706': '00706'
'707': '00707'
'708': 708
'709': 709
'710': '00710'
'711': '00711'
'712': '00712'
'713': '00713'
'714': '00714'
'715': '00715'
'716': '00716'
'717': '00717'
'718': 718
'719': 719
'720': '00720'
'721': '00721'
'722': '00722'
'723': '00723'
'724': '00724'
'725': '00725'
'726': '00726'
'727': '00727'
'728': 728
'729': 729
'730': '00730'
'731': '00731'
'732': '00732'
'733': '00733'
'734': '00734'
'735': '00735'
'736': '00736'
'737': '00737'
'738': 738
'739': 739
'740': '00740'
'741': '00741'
'742': '00742'
'743': '00743'
'744': '00744'
'745': '00745'
'746': '00746'
'747': '00747'
'748': 748
'749': 749
'750': '00750'
'751': '00751'
'752': '00752'
'753': '00753'
'754': '00754'
'755': '00755'
'756': '00756'
'757': '00757'
'758': 758
'759': 759
'760': '00760'
'761': '00761'
'762': '00762'
'763': '00763'
'764': '00764'
'765': '00765'
'766': '00766'
'767': '00767'
'768': 768
'769': 769
'770': '00770'
'771': '00771'
'772': '00772'
'773': '00773'
'774': '00774'
'775': '00775'
'776': '00776'
'777': '00777'
'778': 778
'779': 779
'780': 780
'781': 781
'782': 782
'783': 783
'784': 784
'785': 785
'786': 786
'787': 787
'788': 788
'789': 789
'790': 790
'791': 791
'792': 792
'793': 793
'794': 794
'795': 795
'796': 796
'797': 797
'798': 798
'799': 799
'800': 800
'801': 801
'802': 802
'803': 803
'804': 804
'805': 805
'806': 806
'807': 807
'808': 808
'809': 809
'810': 810
'811': 811
'812': 812
'813': 813
'814': 814
'815': 815
'816': 816
'817': 817
'818': 818
'819': 819
'820': 820
'821': 821
'822': 822
'823': 823
'824': 824
'825': 825
'826': 826
'827': 827
'828': 828
'829': 829
'830': 830
'831': 831
'832': 832
'833': 833
'834': 834
'835': 835
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'837': 837
'838': 838
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'840': 840
'841': 841
'842': 842
'843': 843
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'846': 846
'847': 847
'848': 848
'849': 849
'850': 850
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'852': 852
'853': 853
'854': 854
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'911': 911
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'920': 920
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'922': 922
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'924': 924
'925': 925
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'927': 927
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'930': 930
'931': 931
'932': 932
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'937': 937
'938': 938
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'960': 960
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'970': 970
'971': 971
'972': 972
'973': 973
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'975': 975
'976': 976
'977': 977
'978': 978
'979': 979
'980': 980
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'982': 982
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'984': 984
'985': 985
'986': 986
'987': 987
'988': 988
'989': 989
'990': 990
'991': 991
'992': 992
'993': 993
'994': 994
'995': 995
'996': 996
'997': 997
'998': 998
'999': 999
splits:
- name: train
num_bytes: 13905951000
num_examples: 1000000
download_size: 14091259942
dataset_size: 13905951000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
pretty_name: FractalDB 1k
size_categories:
- 10M<n<100M
---
# FractalDB 1k
FractalDB 1k dataset from [Pre-training without Natural Images](https://hirokatsukataoka16.github.io/Pretraining-without-Natural-Images/).
[Original repo](https://github.com/hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch) | [Project page](https://hirokatsukataoka16.github.io/Pretraining-without-Natural-Images/) | [arXiv](https://arxiv.org/abs/2101.08515)
## Citing
```bibtex
@article{KataokaIJCV2022,
author={Kataoka, Hirokatsu and Okayasu, Kazushige and Matsumoto, Asato and Yamagata, Eisuke and Yamada, Ryosuke and Inoue, Nakamasa and Nakamura, Akio and Satoh, Yutaka},
title={Pre-training without Natural Images},
article={International Journal on Computer Vision (IJCV)},
year={2022},
}
@inproceedings{KataokaACCV2020,
author={Kataoka, Hirokatsu and Okayasu, Kazushige and Matsumoto, Asato and Yamagata, Eisuke and Yamada, Ryosuke and Inoue, Nakamasa and Nakamura, Akio and Satoh, Yutaka},
title={Pre-training without Natural Images},
booktitle={Asian Conference on Computer Vision (ACCV)},
year={2020},
}
@misc{kataoka2021pretraining,
title={Pre-training without Natural Images},
author={Hirokatsu Kataoka and Kazushige Okayasu and Asato Matsumoto and Eisuke Yamagata and Ryosuke Yamada and Nakamasa Inoue and Akio Nakamura and Yutaka Satoh},
year={2021},
eprint={2101.08515},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
提供机构:
p1atdev
原始信息汇总
数据集概述
特征信息
- 图像 (image): 数据类型为图像。
- 标签 (label): 数据类型为类别标签,包含以下类别名称:
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搜集汇总
数据集介绍

以上内容由遇见数据集搜集并总结生成



