arieg/bw_spec_cls_80_08

---
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': '19707'
'1': '19708'
'2': '19729'
'3': '19758'
'4': '19759'
'5': '19760'
'6': '19889'
'7': '19890'
'8': '19891'
'9': '20050'
'10': '20361'
'11': '20362'
'12': '20364'
'13': '20365'
'14': '20366'
'15': '20369'
'16': '20372'
'17': '20373'
'18': '20374'
'19': '20375'
'20': '20376'
'21': '20424'
'22': '20432'
'23': '20469'
'24': '20704'
'25': '21058'
'26': '21085'
'27': '21087'
'28': '21167'
'29': '21228'
'30': '21231'
'31': '21232'
'32': '21400'
'33': '21401'
'34': '21402'
'35': '21403'
'36': '21404'
'37': '21409'
'38': '21422'
'39': '21657'
'40': '21672'
'41': '21676'
'42': '21677'
'43': '21707'
'44': '21774'
'45': '21842'
'46': '21859'
'47': '21860'
'48': '21891'
'49': '21895'
'50': '22088'
'51': '22091'
'52': '22093'
'53': '22094'
'54': '22095'
'55': '22097'
'56': '22295'
'57': '22348'
'58': '22472'
'59': '22473'
'60': '22474'
'61': '22475'
'62': '22476'
'63': '22477'
'64': '22478'
'65': '22479'
'66': '22480'
'67': '22481'
'68': '23013'
'69': '23015'
'70': '23016'
'71': '23037'
'72': '23039'
'73': '23155'
'74': '23156'
'75': '23172'
'76': '23353'
'77': '23371'
'78': '23372'
'79': '23505'
splits:
- name: train
num_bytes: 87970180.8
num_examples: 1600
download_size: 88350209
dataset_size: 87970180.8
---
# Dataset Card for "bw_spec_cls_80_08"

[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:
  • 名称: image
    • 数据类型: image
  • 名称: label
    • 数据类型: class_label
    • 类别名称:
      • 0: 19707
      • 1: 19708
      • 2: 19729
      • 3: 19758
      • 4: 19759
      • 5: 19760
      • 6: 19889
      • 7: 19890
      • 8: 19891
      • 9: 20050
      • 10: 20361
      • 11: 20362
      • 12: 20364
      • 13: 20365
      • 14: 20366
      • 15: 20369
      • 16: 20372
      • 17: 20373
      • 18: 20374
      • 19: 20375
      • 20: 20376
      • 21: 20424
      • 22: 20432
      • 23: 20469
      • 24: 20704
      • 25: 21058
      • 26: 21085
      • 27: 21087
      • 28: 21167
      • 29: 21228
      • 30: 21231
      • 31: 21232
      • 32: 21400
      • 33: 21401
      • 34: 21402
      • 35: 21403
      • 36: 21404
      • 37: 21409
      • 38: 21422
      • 39: 21657
      • 40: 21672
      • 41: 21676
      • 42: 21677
      • 43: 21707
      • 44: 21774
      • 45: 21842
      • 46: 21859
      • 47: 21860
      • 48: 21891
      • 49: 21895
      • 50: 22088
      • 51: 22091
      • 52: 22093
      • 53: 22094
      • 54: 22095
      • 55: 22097
      • 56: 22295
      • 57: 22348
      • 58: 22472
      • 59: 22473
      • 60: 22474
      • 61: 22475
      • 62: 22476
      • 63: 22477
      • 64: 22478
      • 65: 22479
      • 66: 22480
      • 67: 22481
      • 68: 23013
      • 69: 23015
      • 70: 23016
      • 71: 23037
      • 72: 23039
      • 73: 23155
      • 74: 23156
      • 75: 23172
      • 76: 23353
      • 77: 23371
      • 78: 23372
      • 79: 23505

数据分割

• 名称: train
  • 字节数: 87970180.8
  • 样本数: 1600

数据集大小

• 下载大小: 88350209
• 数据集大小: 87970180.8

搜集汇总

背景与挑战

背景概述

该数据集是一个黑白光谱图像分类数据集，包含1,600张298x298像素的图像，分为80个类别，所有数据均用于训练。数据集以Parquet格式存储，总大小为88.4 MB，适用于图像分类任务，但缺乏详细的背景和标注信息。