arieg/bw_spec_cls_160

---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': '56248'
'1': '56249'
'2': '56273'
'3': '56274'
'4': '56275'
'5': '56465'
'6': '56466'
'7': '56467'
'8': '56468'
'9': '56469'
'10': '56470'
'11': '56471'
'12': '56472'
'13': '56474'
'14': '56493'
'15': '56495'
'16': '56496'
'17': '56497'
'18': '56498'
'19': '56499'
'20': '56516'
'21': '56517'
'22': '56518'
'23': '56519'
'24': '56520'
'25': '56521'
'26': '56639'
'27': '56640'
'28': '56641'
'29': '56645'
'30': '56646'
'31': '56648'
'32': '56649'
'33': '56650'
'34': '56651'
'35': '56686'
'36': '56687'
'37': '56688'
'38': '56689'
'39': '56690'
'40': '56691'
'41': '56692'
'42': '56693'
'43': '56694'
'44': '56695'
'45': '56696'
'46': '56795'
'47': '56796'
'48': '56797'
'49': '56798'
'50': '56799'
'51': '56800'
'52': '56801'
'53': '56802'
'54': '56803'
'55': '56804'
'56': '56805'
'57': '56888'
'58': '57164'
'59': '57175'
'60': '57176'
'61': '57177'
'62': '57178'
'63': '57179'
'64': '57180'
'65': '57344'
'66': '57360'
'67': '57371'
'68': '57417'
'69': '57418'
'70': '57440'
'71': '57442'
'72': '57500'
'73': '57569'
'74': '57626'
'75': '57627'
'76': '57628'
'77': '57629'
'78': '57630'
'79': '57639'
'80': '57640'
'81': '57648'
'82': '57658'
'83': '57661'
'84': '57662'
'85': '57663'
'86': '57665'
'87': '57691'
'88': '57697'
'89': '57819'
'90': '57820'
'91': '57821'
'92': '57822'
'93': '57823'
'94': '57936'
'95': '57937'
'96': '57938'
'97': '57939'
'98': '57943'
'99': '57968'
'100': '58052'
'101': '58053'
'102': '58054'
'103': '58060'
'104': '58061'
'105': '58063'
'106': '58068'
'107': '58070'
'108': '58115'
'109': '58116'
'110': '58117'
'111': '58135'
'112': '58140'
'113': '58161'
'114': '58162'
'115': '58164'
'116': '58166'
'117': '58169'
'118': '58170'
'119': '58173'
'120': '58174'
'121': '58212'
'122': '58213'
'123': '58215'
'124': '58221'
'125': '58225'
'126': '58341'
'127': '58474'
'128': '59078'
'129': '59373'
'130': '59374'
'131': '59561'
'132': '59653'
'133': '59654'
'134': '59656'
'135': '59657'
'136': '59658'
'137': '59659'
'138': '59660'
'139': '59663'
'140': '59664'
'141': '59666'
'142': '59667'
'143': '59669'
'144': '59671'
'145': '59673'
'146': '59675'
'147': '59676'
'148': '59677'
'149': '59678'
'150': '59679'
'151': '59680'
'152': '59681'
'153': '59682'
'154': '59683'
'155': '59684'
'156': '59685'
'157': '59686'
'158': '59687'
'159': '59688'
splits:
- name: train
num_bytes: 179214128.0
num_examples: 3200
download_size: 179008943
dataset_size: 179214128.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "bw_spec_cls_160"

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

The dataset bw_spec_cls_160 contains features such as images and corresponding labels. The images are of type image and the labels are class labels with names represented by numeric codes ranging from 56248 to 59688. The dataset includes a single split named train with 3200 examples and a size of approximately 179 MB. The dataset is primarily structured for image classification tasks.

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
    • 类别名称及其对应编号如下：
      • 0: 56248
      • 1: 56249
      • 2: 56273
      • ...
      • 159: 59688

数据集分割

• 训练集:
  • 样本数量: 3200
  • 数据大小: 179214128.0 字节

数据集大小

• 下载大小: 179008943 字节
• 数据集大小: 179214128.0 字节

配置信息

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