pkr7098/imagenet2012-1k-subsampling-50
收藏Hugging Face2024-06-24 更新2024-06-29 收录
下载链接：
https://hf-mirror.com/datasets/pkr7098/imagenet2012-1k-subsampling-50
下载链接
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资源简介：
该数据集包含两个主要特征：image和label。image特征的数据类型为图像，label特征是一个包含1000个不同类别的分类标签，每个类别都有一个唯一的标识符（如n01440764、n01443537等）。这些类别标识符可能对应于某种分类系统或标准。数据集可能用于图像分类任务，但README文件中没有提供更详细的描述或背景信息。
The dataset contains two main features: image and label. The image feature is of image data type, and the label feature is a classification label with 1000 different categories, each with a unique identifier (e.g., n01440764, n01443537, etc.). These category identifiers may correspond to some classification system or standard. The dataset is likely intended for image classification tasks, but the README file does not provide more detailed descriptions or background information.
提供机构：
pkr7098
原始信息汇总
数据集概述
数据特征
- 图像：
- 数据类型：图像
- 标签：
- 数据类型：类别标签
- 类别名称：
- 0: n01440764
- 1: n01443537
- 2: n01484850
- 3: n01491361
- 4: n01494475
- 5: n01496331
- 6: n01498041
- 7: n01514668
- 8: n01514859
- 9: n01518878
- 10: n01530575
- 11: n01531178
- 12: n01532829
- 13: n01534433
- 14: n01537544
- 15: n01558993
- 16: n01560419
- 17: n01580077
- 18: n01582220
- 19: n01592084
- 20: n01601694
- 21: n01608432
- 22: n01614925
- 23: n01616318
- 24: n01622779
- 25: n01629819
- 26: n01630670
- 27: n01631663
- 28: n01632458
- 29: n01632777
- 30: n01641577
- 31: n01644373
- 32: n01644900
- 33: n01664065
- 34: n01665541
- 35: n01667114
- 36: n01667778
- 37: n01669191
- 38: n01675722
- 39: n01677366
- 40: n01682714
- 41: n01685808
- 42: n01687978
- 43: n01688243
- 44: n01689811
- 45: n01692333
- 46: n01693334
- 47: n01694178
- 48: n01695060
- 49: n01697457
- 50: n01698640
- 51: n01704323
- 52: n01728572
- 53: n01728920
- 54: n01729322
- 55: n01729977
- 56: n01734418
- 57: n01735189
- 58: n01737021
- 59: n01739381
- 60: n01740131
- 61: n01742172
- 62: n01744401
- 63: n01748264
- 64: n01749939
- 65: n01751748
- 66: n01753488
- 67: n01755581
- 68: n01756291
- 69: n01768244
- 70: n01770081
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- 72: n01773157
- 73: n01773549
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- 81: n01796340
- 82: n01797886
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- 86: n01807496
- 87: n01817953
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- 90: n01820546
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- 95: n01843065
- 96: n01843383
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- 98: n01855032
- 99: n01855672
- 100: n01860187
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- 104: n01877812
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- 117: n01968897
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- 119: n01978455
- 120: n01980166
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- 123: n01984695
- 124: n01985128
- 125: n01986214
- 126: n01990800
- 127: n02002556
- 128: n02002724
- 129: n02006656
- 130: n02007558
- 131: n02009229
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- 134: n02012849
- 135: n02013706
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- 137: n02018207
- 138: n02018795
- 139: n02025239
- 140: n02027492
- 141: n02028035
- 142: n02033041
- 143: n02037110
- 144: n02051845
- 145: n02056570
- 146: n02058221
- 147: n02066245
- 148: n02071294
- 149: n02074367
- 150: n02077923
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- 152: n02085782
- 153: n02085936
- 154: n02086079
- 155: n02086240
- 156: n02086646
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- 159: n02087394
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- 161: n02088238
- 162: n02088364
- 163: n02088466
- 164: n02088632
- 165: n02089078
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- 175: n02091635
- 176: n02091831
- 177: n02092002
- 178: n02092339
- 179: n02093256
- 180: n02093428
- 181: n02093647
- 182: n02093754
- 183: n02093859
- 184: n02093991
- 185: n02094114
- 186: n02094258
- 187: n02094433
- 188: n02095314
- 189: n02095570
- 190: n02095889
- 191: n02096051
- 192: n02096177
- 193: n02096294
- 194: n02096437
- 195: n02096585
- 196: n02097047
- 197: n02097130
- 198: n02097209
- 199: n02097298
- 200: n02097474
- 201: n02097658
- 202: n02098105
- 203: n02098286
- 204: n02098413
- 205: n02099267
- 206: n02099429
- 207: n02099601
- 208: n02099712
- 209: n02099849
- 210: n02100236
- 211: n02100583
- 212: n02100735
- 213: n02100877
- 214: n02101006
- 215: n02101388
- 216: n02101556
- 217: n02102040
- 218: n02102177
- 219: n02102318
- 220: n02102480
- 221: n02102973
- 222: n02104029
- 223: n02104365
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- 226: n02105251
- 227: n02105412
- 228: n02105505
- 229: n02105641
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- 231: n02106030
- 232: n02106166
- 233: n02106382
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- 235: n02106662
- 236: n02107142
- 237: n02107312
- 238: n02107574
- 239: n02107683
- 240: n02107908
- 241: n02108000
- 242: n02108089
- 243: n02108422
- 244
