This project is made as a part of Capgemini AI/ML training by Harsh Shukla(IT) and Rishika Garg(CSE)
Chest X-ray imaging is the most frequently used method for diagnosing pneumonia. However, the examination of chest X-rays is a challenging task and is prone to subjective variability. We have used a powerful dataset having more than 500 chest x-rays and trained the machine learining model to test the testing data set. The image classification model is giving accurate results.
- Test data set: https://drive.google.com/drive/folders/1Y5Jfg5xFFnIL8gtFjgkIyYpUY-x-nt1W?usp=sharing
- Training data set : https://drive.google.com/drive/folders/1n6NtYDuDoU93-FANXoBsMnhc0V5xqDLq?usp=sharing
- kaggle link : https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia