The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Normal/Pneumonia/Covid-19/Tuberculosis). A total of 7135 x-ray images are present.
Sources:
https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia
https://www.kaggle.com/tawsifurrahman/tuberculosis-tb-chest-xray-dataset
https://www.kaggle.com/prashant268/chest-xray-covid19-pneumonia
https://github.com/ieee8023/covid-chestxray-dataset
Application of Artificial Intelligence (AI) techniques to detect and classify human diseases from x-ray images