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keremberke/chest-xray-classification

Dataset Labels ['NORMAL', 'PNEUMONIA'] Number of Images {'train': 4077, 'test': 582, 'valid': 1165} How to Use Install datasets: pip install datasets Load the dataset: from datasets import load_dataset ds = load_dataset("keremberke/chest-xray-classification", name="full") example = ds['train'][0] Roboflow Dataset Page https://universe.roboflow.com/mohamed-traore-2ekkp/chest-x-rays-qjmia/dataset/2 Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/chest-xray-classification.

sourceHugging Faceupdated 4y agoView on Hugging Face
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Dataset Card

<div align="center"> <img width="640" alt="keremberke/chest-xray-classification" src="https://huggingface.co/datasets/keremberke/chest-xray-classification/resolve/main/thumbnail.jpg"> </div>

Dataset Labels

['NORMAL', 'PNEUMONIA']

Number of Images

json
{'train': 4077, 'test': 582, 'valid': 1165}

How to Use

bash
pip install datasets
  • —Load the dataset:
python
from datasets import load_dataset

ds = load_dataset("keremberke/chest-xray-classification", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/mohamed-traore-2ekkp/chest-x-rays-qjmia/dataset/2

Citation

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.ai on March 31, 2022 at 3:11 PM GMT

It includes 5824 images. Pneumonia are annotated in folder format.

The following pre-processing was applied to each image:

  • —Auto-orientation of pixel data (with EXIF-orientation stripping)
  • —Resize to 640x640 (Stretch)

No image augmentation techniques were applied.