Semantic Segmentation - U Net

This project implements a U-Net based approach for semantic segmentation of aerial images, using the Aerial Semantic Segmentation Drone Dataset. The model is designed to classify each pixel in the images into one of 23 categories, improving the understanding of urban scenes for safer autonomous drone navigation.