Semantic-Segmentation-for-Autonomous-Vehicles

This project focuses on semantic segmentation using the BDD100K dataset, a large-scale, diverse dataset for autonomous driving. The main objective is to accurately segment and identify various objects in street scenes, which is important for improving the perception capabilities of autonomous vehicl