Kaggle Dataset Link : https://www.kaggle.com/nabeelsajid917/covid-19-x-ray-10000-images
- Simple Convolutional Neural Network model.
- Trained the whole network for 15 epochs
- Batch size set to 8
- Optimizer : RMSPROP
- Data Augmentation : The goal is to get rid of the class imbalance issues. Oversampling with data augmentation
Through this model is almost 95% accurate but still there is a lot of work need to be done as the dataset lack of other useful information like geo-location, travel history etc to detect COVID-19. Using only X Rays images is not enough.