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