This project is part of the graduate course, "Deep Learning" course at SJSU. The code uses a deep neural network of U-NET architecture to segment aerial images of cities, roadways, buildings, people, etc. for autonomous drones. Project partners, Antonio Cervantes and Christian Pedrigal.
