Galaxy Classification based on Morphological Orientation
Date:
- Proposed and implemented a transfer learning-based approach to classify galaxies based on its morphology using existing models such as VGG16, ResNet50, Xception, DenseNet, and InceptionNet.
- Significantly improved classification accuracy by 17% compared to the previous architecture.