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p1atdev/FractalDB-1k

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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': 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'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': 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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:
    • 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
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    • 33: 00033
    • 34: 00034
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    • 40: 00040
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    • 48: 48
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    • 50: 00050
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    • 158: 158
    • 159: 159
    • 160: 00160
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    • 162: 00162
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    • 164: 00164
    • 165: 00165
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    • 167: 00167
    • 168: 168
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    • 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
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