The dataset targets the classification task for 2D chest X-ray imaging, distinguishing between pneumonia and normal conditions. It comprises 5863 JPEG X-ray images from pediatric patients aged 1-5 years at the Guangzhou Women and Children's Medical Center, verified by experts for diagnostic quality. The data is organized into three folders: training, testing, and validation, for AI research and application purposes.
| Dimensions | Modality | Task Type | Anatomical Structures | Anatomical Area | Number of Categories | Data Volume | File Format |
|---|---|---|---|---|---|---|---|
| 2D | X Ray | Classification | Lung | Chest | 2 | 5856 | .jepg |
| Dataset Statistics | size |
|---|---|
| min | [384,127] |
| median | [1304,872] |
| max | [2916,2583] |
| Category | train | val | test |
|---|---|---|---|
| Normal | 1341 | 8 | 234 |
| Pneumonia | 3875 | 8 | 390 |
Normal sample 1.
Normal sample 2.
Lesion sample 1.
Lesion sample 2.
The file structure of the dataset is as follows, containing three different folders: training, validation, and testing. Each folder contains two subfolders for normal and abnormal, which store the corresponding images.
chest_xray Dataset
├── train
│ ├── NORMAL
│ │ ├── IM-0115-0001.jpeg
│ │ ├── IM-0117-0001.jpeg
│ │ ...
│ ├──PNEUMONIA
│ │ ├── person1000_bacteria_2931.jpeg
│ │ ├── person1000_virus_1681.jpeg
│ │ ...
├── val
│ ├── NORMAL
│ │ ├── ...
│ ├──PNEUMONIA
│ │ ├── ...
├── test
│ ├── NORMAL
│ │ ├── ...
│ ├──PNEUMONIA
│ │ ├── ...
Official Website: https://www.heywhale.com/mw/dataset/62c2ac49913a54a66037f872/content
Download Link: https://www.heywhale.com/mw/dataset/62c2ac49913a54a66037f872/file
Article Address: https://www.heywhale.com/mw/dataset/62c2ac49913a54a66037f872/content, https://data.mendeley.com/datasets/rscbjbr9sj/2
Publication Date: 2022-07-04
@misc{Merlin1923,
title = { 胸部 X 线成像（肺炎） },
author = { Merlin },
howpublished = { \url{https://www.heywhale.com/mw/dataset/62c2ac49913a54a66037f872} },
year = { 2022 }
}
Original introduction article is here.