aerial_image_segmentation

This project explores multi-class segmentation of aerial drone imagery using deep learning models including U-Net, U-Net Xception, VGG U-Net, and AER U-Net. It includes data preprocessing, model implementation, training, and evaluation using the Swiss and Okutama Drone Datasets. Dice score is used f