juliensimon/autotrain-data-chest-xray-demo

该数据集由AutoTrain自动处理，用于胸部X光肺炎检测项目。原始数据集来源于Kaggle。数据集结构包括训练集和验证集，分别包含正常和肺炎两类图像。数据实例展示了图像的尺寸和目标标签，数据集字段包括图像和分类标签。数据集被分为训练集和验证集，分别包含5216和624个样本。

This dataset was automatically processed by AutoTrain for the chest X-ray pneumonia detection project. The original dataset is sourced from Kaggle. The dataset is structured into training and validation sets, which contain images from two classes: normal and pneumonia. Each data instance includes image dimensions and target labels, and the dataset fields consist of images and classification labels. The dataset is split into training and validation sets with 5216 and 624 samples respectively.

原始信息汇总

数据集概述

数据集名称

• 项目名称: chest-xray-demo

数据集描述

• 原始来源: 该数据集原始数据来源于Kaggle。
• 自动处理: 数据集已通过AutoTrain自动处理。

数据集结构

• 目录结构:

  ├── train │ ├── NORMAL │ └── PNEUMONIA └── valid ├── NORMAL └── PNEUMONIA

数据实例

• 样本示例: json [ { "image": "<2090x1858 L PIL image>", "target": 0 }, { "image": "<1422x1152 L PIL image>", "target": 0 } ]

数据集字段

• 字段描述: json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(num_classes=2, names=[NORMAL, PNEUMONIA], id=None)" }

数据集分割

• 分割详情:

  分割名称	样本数量
  train	5216
  valid	624