This Dataset is comprised of the Chest X-Rays of 5 Different diseases. They are: Atelectasis Infiltration Effusion Cardiomegaly Fibrosis
All of the training sets contain 200+ images. All of the Validation/Test sets contain 50+ images. It contains folder wise arranged images for all diseases in both the training and Validation sets. DATA Source - www.google.com , www.kaggle.com . The aim is to train a Neural Network to classify a given Chest X-Ray image into one of these categories. TEST SET ACCURACY - BETWEEN 76% - 80 % . TRAINING SET ACCURACY - BETWEEN 80% - 83%