COVID19 detection using Chest X-Ray Detection
The model was trained using a transfer learning approach using VGG16 as a pre trained model. The COVID-19 dataset used is an open-source dataset which consists of COVID-19 images from publicly available research, as well as lung images with different pneumonia-causing diseases such as SARS, Streptococcus, and Pneumocystis. The healthy X-ray dataset was taken from kaggel Chest X-rays Dataset. To even things out, 400 images of each classes were taken and split into 80-20% train test split. Performance analysis graphs are included in the repository. The model was trained on Google Colab so some of the code in the notebook is to link the colab with the drive.