README.md

metadata

task_categories:
  - image-classification
tags:
  - roboflow
  - roboflow2huggingface
  - Biology

Dataset Labels

['PNEUMONIA', 'NORMAL']

Number of Images

{'test': 582, 'valid': 1165, 'train': 12230}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

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

Roboflow Dataset Page

https://universe.roboflow.com/mohamed-traore-2ekkp/chest-x-rays-qjmia/dataset/3

Citation

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.ai on December 8, 2021 at 12:45 AM GMT

It includes 13977 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)

The following augmentation was applied to create 3 versions of each source image:

• Random shear of between -3° to +3° horizontally and -2° to +2° vertically
• Random brigthness adjustment of between -5 and +5 percent
• Random exposure adjustment of between -5 and +5 percent