Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
medical
License:
task_categories: | |
- image-classification | |
language: | |
- en | |
tags: | |
- medical | |
pretty_name: chest-xray | |
size_categories: | |
- 1K<n<10K | |
license: cc | |
# chest-xray | |
## Overview | |
The chest-xray dataset can be employed as the training and test sets for computer vision tasks like pneumonia classification. | |
## Dataset Details | |
This data originally came from [Chest X-Ray Images (Pneumonia)](https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia) | |
The original dataset contains : | |
The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Pneumonia/Normal). | |
There are 5,856 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal). | |
```latex | |
@article{kermany2018identifying, | |
title={Identifying medical diagnoses and treatable diseases by image-based deep learning}, | |
author={Kermany, Daniel S and Goldbaum, Michael and Cai, Wenjia and Valentim, Carolina CS and Liang, Huiying and Baxter, Sally L and McKeown, Alex and Yang, Ge and Wu, Xiaokang and Yan, Fangbing and others}, | |
journal={cell}, | |
volume={172}, | |
number={5}, | |
pages={1122--1131}, | |
year={2018}, | |
publisher={Elsevier} | |
} | |
``` | |
- Dataset Name: **chest-xray** | |
- Language: English | |
- Total Size: 5,856 demonstrations | |
## Contents | |
The dataset consists of Chest X-ray images (anterior-posterior), | |
and 2 class labels: | |
- "0" normal(27%) | |
- "1" pneumonia(73%) | |
## How to use | |
```python | |
from datasets import load_dataset | |
dataset = load_dataset("AiresPucrs/chest-xray", split='train') | |
``` | |
## License | |
The dataset is licensed under the [Creative Commons License CC0 4.0 International](https://creativecommons.org/licenses/by/4.0/). |