5,500 chest X-ray images categorized into pneumonia and normal classes. The collection features images that have been manually cleaned and verified by a professional radiologist to ensure label accuracy.
Use Cases
- Train a binary classification model to identify pneumonia using the X-ray image files and verified labels
- Benchmark computer vision models on radiologist-cleaned medical imaging data
- Develop automated screening tools for respiratory conditions using the provided chest X-ray imagery
Strengths
- 5,500+ chest X-ray images in a cleaned format
- Labels verified by a professional radiologist for diagnostic accuracy
- Binary classification structure covering pneumonia and normal cases