YOLOv9-for-Autonomous-Driving-with-Custom-Classes

This project extends the YOLOv9 object detection model to detect additional custom classes specific to autonomous driving, including various traffic signs and cones, alongside the existing 80 COCO dataset classes. By curating and annotating new datasets, we aim to retain high detection accuracy acro