Semantic Segmentation
This project focuses on designing and implementing a real-time semantic segmentation system for autonomous vehicles. The system will enable a vehicle to understand and classify each pixel in a scene (e.g., road, pedestrians, vehicles, traffic signs, lane markings, buildings, sky, and other vehicle & cityscapes datasets) using deep learning and computer vision techniques.