arieg/bw_spec_cls_100_00_noise_200

---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '10'
'1': '140'
'2': '2'
'3': '5'
'4': '141'
'5': '190'
'6': '193'
'7': '194'
'8': '197'
'9': '200'
'10': '203'
'11': '204'
'12': '207'
'13': '210'
'14': '211'
'15': '212'
'16': '213'
'17': '255'
'18': '256'
'19': '368'
'20': '424'
'21': '534'
'22': '540'
'23': '546'
'24': '574'
'25': '615'
'26': '620'
'27': '621'
'28': '625'
'29': '666'
'30': '667'
'31': '676'
'32': '694'
'33': '695'
'34': '714'
'35': '715'
'36': '716'
'37': '718'
'38': '777'
'39': '814'
'40': '821'
'41': '822'
'42': '825'
'43': '853'
'44': '897'
'45': '995'
'46': '997'
'47': '998'
'48': '1039'
'49': '1040'
'50': '1082'
'51': '1083'
'52': '1102'
'53': '1193'
'54': '1195'
'55': '1196'
'56': '1197'
'57': '1270'
'58': '1276'
'59': '1277'
'60': '1278'
'61': '1417'
'62': '1427'
'63': '1443'
'64': '1482'
'65': '1510'
'66': '1544'
'67': '1642'
'68': '1644'
'69': '1649'
'70': '1661'
'71': '1663'
'72': '1666'
'73': '1673'
'74': '1680'
'75': '1681'
'76': '1682'
'77': '1683'
'78': '1684'
'79': '1685'
'80': '1686'
'81': '1687'
'82': '1688'
'83': '1689'
'84': '1701'
'85': '1702'
'86': '1703'
'87': '1704'
'88': '1706'
'89': '1720'
'90': '1732'
'91': '1733'
'92': '1735'
'93': '1736'
'94': '1883'
'95': '1891'
'96': '1924'
'97': '1925'
'98': '1929'
'99': '1930'
splits:
- name: train
num_bytes: 1159801335.0
num_examples: 20560
download_size: 603798465
dataset_size: 1159801335.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "bw_spec_cls_100_00_noise_200"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

原始信息汇总

数据集概述

数据集信息

• 特征:

  • image: 图像数据
  • label: 类别标签
    • 类别名称映射如下：
      • 0: 10
      • 1: 140
      • 2: 2
      • 3: 5
      • 4: 141
      • 5: 190
      • 6: 193
      • 7: 194
      • 8: 197
      • 9: 200
      • 10: 203
      • 11: 204
      • 12: 207
      • 13: 210
      • 14: 211
      • 15: 212
      • 16: 213
      • 17: 255
      • 18: 256
      • 19: 368
      • 20: 424
      • 21: 534
      • 22: 540
      • 23: 546
      • 24: 574
      • 25: 615
      • 26: 620
      • 27: 621
      • 28: 625
      • 29: 666
      • 30: 667
      • 31: 676
      • 32: 694
      • 33: 695
      • 34: 714
      • 35: 715
      • 36: 716
      • 37: 718
      • 38: 777
      • 39: 814
      • 40: 821
      • 41: 822
      • 42: 825
      • 43: 853
      • 44: 897
      • 45: 995
      • 46: 997
      • 47: 998
      • 48: 1039
      • 49: 1040
      • 50: 1082
      • 51: 1083
      • 52: 1102
      • 53: 1193
      • 54: 1195
      • 55: 1196
      • 56: 1197
      • 57: 1270
      • 58: 1276
      • 59: 1277
      • 60: 1278
      • 61: 1417
      • 62: 1427
      • 63: 1443
      • 64: 1482
      • 65: 1510
      • 66: 1544
      • 67: 1642
      • 68: 1644
      • 69: 1649
      • 70: 1661
      • 71: 1663
      • 72: 1666
      • 73: 1673
      • 74: 1680
      • 75: 1681
      • 76: 1682
      • 77: 1683
      • 78: 1684
      • 79: 1685
      • 80: 1686
      • 81: 1687
      • 82: 1688
      • 83: 1689
      • 84: 1701
      • 85: 1702
      • 86: 1703
      • 87: 1704
      • 88: 1706
      • 89: 1720
      • 90: 1732
      • 91: 1733
      • 92: 1735
      • 93: 1736
      • 94: 1883
      • 95: 1891
      • 96: 1924
      • 97: 1925
      • 98: 1929
      • 99: 1930

• 分割:

  • train: 训练集
    • 字节数: 1159801335.0
    • 样本数: 20560

• 数据集大小:

  • 下载大小: 603798465
  • 数据集大小: 1159801335.0

配置

• 配置名称: default
  • 数据文件:
    • train: 路径为 data/train-*