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