Given were training set and a test set of images of 3 classes. Each image had a filename that is its unique id. The dataset comprised of 3 classes: COVID-19, Viral Pneumonia, and Normal. The goal of the project was to create a classifier capable of determining the class of the X-ray image.
The project is inspired from a dataset from Kaggle.
The dataset (below 4 files) has to be downloaded from Olympus platform of Great Learning. testimage.npy testLabels.csv trainimage.npy trainLabels.csv
The context was to differentiate an X-ray image of a normal person from an unhealthy one and the ability to do so effectively meant better diagnosis.
Pre-processing of image data, visualization of images, building CNN and evaluation of the model were done.