This is a repository of the computer vision projects I have worked/working on. Find the detailed explanations or codes for the projects in the respective folder or click on the project title to be directed to the folder.
- Used the ResNet50 architecture to train a model for detecting pneumonia on medical images.
- Applied discriminative learning rates and achieved an accuracy of 96.33 % .
- Successfully reduced the training time without much compromise in model performance by switching to mixed precision training and achieved an accuracy of 95.82 %.