arieg/bw_spec_cls_80_18

---
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': '47071'
'1': '47072'
'2': '47073'
'3': '47074'
'4': '47075'
'5': '47076'
'6': '47077'
'7': '47192'
'8': '47193'
'9': '47194'
'10': '47195'
'11': '47196'
'12': '47197'
'13': '47198'
'14': '47199'
'15': '47200'
'16': '47201'
'17': '47202'
'18': '47260'
'19': '47506'
'20': '47510'
'21': '47657'
'22': '47658'
'23': '47659'
'24': '47660'
'25': '47661'
'26': '47662'
'27': '47663'
'28': '47665'
'29': '47666'
'30': '47670'
'31': '47671'
'32': '47707'
'33': '47826'
'34': '47835'
'35': '47865'
'36': '47868'
'37': '47894'
'38': '47895'
'39': '47896'
'40': '47897'
'41': '47916'
'42': '47921'
'43': '48015'
'44': '48042'
'45': '48043'
'46': '48044'
'47': '48046'
'48': '48269'
'49': '48307'
'50': '48367'
'51': '48368'
'52': '48369'
'53': '48437'
'54': '48439'
'55': '48440'
'56': '48442'
'57': '48443'
'58': '48444'
'59': '48446'
'60': '48450'
'61': '48452'
'62': '48453'
'63': '48454'
'64': '48456'
'65': '48457'
'66': '48462'
'67': '48463'
'68': '48464'
'69': '48465'
'70': '48466'
'71': '48488'
'72': '48489'
'73': '48491'
'74': '48492'
'75': '48493'
'76': '48494'
'77': '48763'
'78': '48808'
'79': '48815'
splits:
- name: train
num_bytes: 87516568.0
num_examples: 1600
download_size: 87788761
dataset_size: 87516568.0
---
# Dataset Card for "bw_spec_cls_80_18"

[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

数据集配置

• 配置名称: default
• 数据文件:
  • 分割: train
  • 路径: 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: 47071
      • 1: 47072
      • 2: 47073
      • 3: 47074
      • 4: 47075
      • 5: 47076
      • 6: 47077
      • 7: 47192
      • 8: 47193
      • 9: 47194
      • 10: 47195
      • 11: 47196
      • 12: 47197
      • 13: 47198
      • 14: 47199
      • 15: 47200
      • 16: 47201
      • 17: 47202
      • 18: 47260
      • 19: 47506
      • 20: 47510
      • 21: 47657
      • 22: 47658
      • 23: 47659
      • 24: 47660
      • 25: 47661
      • 26: 47662
      • 27: 47663
      • 28: 47665
      • 29: 47666
      • 30: 47670
      • 31: 47671
      • 32: 47707
      • 33: 47826
      • 34: 47835
      • 35: 47865
      • 36: 47868
      • 37: 47894
      • 38: 47895
      • 39: 47896
      • 40: 47897
      • 41: 47916
      • 42: 47921
      • 43: 48015
      • 44: 48042
      • 45: 48043
      • 46: 48044
      • 47: 48046
      • 48: 48269
      • 49: 48307
      • 50: 48367
      • 51: 48368
      • 52: 48369
      • 53: 48437
      • 54: 48439
      • 55: 48440
      • 56: 48442
      • 57: 48443
      • 58: 48444
      • 59: 48446
      • 60: 48450
      • 61: 48452
      • 62: 48453
      • 63: 48454
      • 64: 48456
      • 65: 48457
      • 66: 48462
      • 67: 48463
      • 68: 48464
      • 69: 48465
      • 70: 48466
      • 71: 48488
      • 72: 48489
      • 73: 48491
      • 74: 48492
      • 75: 48493
      • 76: 48494
      • 77: 48763
      • 78: 48808
      • 79: 48815

数据分割

• 名称: train
• 字节数: 87516568.0
• 样本数: 1600

数据集大小

• 下载大小: 87788761
• 数据集大小: 87516568.0