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arieg/bw_spec_cls_80_01

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Hugging Face2023-11-08 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/arieg/bw_spec_cls_80_01
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资源简介:
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '1686' '1': '1687' '2': '1688' '3': '1689' '4': '1701' '5': '1702' '6': '1703' '7': '1704' '8': '1706' '9': '1720' '10': '1732' '11': '1733' '12': '1735' '13': '1736' '14': '1883' '15': '1891' '16': '1924' '17': '1925' '18': '1929' '19': '1930' '20': '2096' '21': '2097' '22': '2099' '23': '3270' '24': '3271' '25': '3272' '26': '3273' '27': '3274' '28': '3492' '29': '3532' '30': '3533' '31': '3534' '32': '3535' '33': '3537' '34': '3538' '35': '3573' '36': '3598' '37': '3707' '38': '3708' '39': '3720' '40': '3721' '41': '3722' '42': '3724' '43': '3725' '44': '3761' '45': '3762' '46': '3763' '47': '3765' '48': '3766' '49': '3775' '50': '3776' '51': '3777' '52': '3778' '53': '3779' '54': '3832' '55': '3833' '56': '3840' '57': '3880' '58': '3895' '59': '3896' '60': '3904' '61': '3905' '62': '3906' '63': '3908' '64': '3909' '65': '3910' '66': '3911' '67': '3912' '68': '3913' '69': '3920' '70': '3921' '71': '3950' '72': '4013' '73': '4017' '74': '4037' '75': '4066' '76': '4067' '77': '4068' '78': '4069' '79': '4070' splits: - name: train num_bytes: 89597136.0 num_examples: 1600 download_size: 91111484 dataset_size: 89597136.0 --- # Dataset Card for "bw_spec_cls_80_01" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
arieg
原始信息汇总

数据集概述

数据集配置

  • 配置名称: default
  • 数据文件路径:
    • 训练集: data/train-*

数据集信息

  • 特征:
    • 图像:
      • 名称: image
      • 数据类型: image
    • 标签:
      • 名称: label
      • 数据类型: class_label
      • 类别名称:
        • 0: 1686
        • 1: 1687
        • 2: 1688
        • 3: 1689
        • 4: 1701
        • 5: 1702
        • 6: 1703
        • 7: 1704
        • 8: 1706
        • 9: 1720
        • 10: 1732
        • 11: 1733
        • 12: 1735
        • 13: 1736
        • 14: 1883
        • 15: 1891
        • 16: 1924
        • 17: 1925
        • 18: 1929
        • 19: 1930
        • 20: 2096
        • 21: 2097
        • 22: 2099
        • 23: 3270
        • 24: 3271
        • 25: 3272
        • 26: 3273
        • 27: 3274
        • 28: 3492
        • 29: 3532
        • 30: 3533
        • 31: 3534
        • 32: 3535
        • 33: 3537
        • 34: 3538
        • 35: 3573
        • 36: 3598
        • 37: 3707
        • 38: 3708
        • 39: 3720
        • 40: 3721
        • 41: 3722
        • 42: 3724
        • 43: 3725
        • 44: 3761
        • 45: 3762
        • 46: 3763
        • 47: 3765
        • 48: 3766
        • 49: 3775
        • 50: 3776
        • 51: 3777
        • 52: 3778
        • 53: 3779
        • 54: 3832
        • 55: 3833
        • 56: 3840
        • 57: 3880
        • 58: 3895
        • 59: 3896
        • 60: 3904
        • 61: 3905
        • 62: 3906
        • 63: 3908
        • 64: 3909
        • 65: 3910
        • 66: 3911
        • 67: 3912
        • 68: 3913
        • 69: 3920
        • 70: 3921
        • 71: 3950
        • 72: 4013
        • 73: 4017
        • 74: 4037
        • 75: 4066
        • 76: 4067
        • 77: 4068
        • 78: 4069
        • 79: 4070

数据集分割

  • 训练集:
    • 名称: train
    • 字节数: 89597136.0
    • 样本数: 1600

数据集大小

  • 下载大小: 91111484
  • 数据集大小: 89597136.0
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