Autonomous Vehicle Detection for Bangladesh Roads
YOLO and DETR-based object detection for road safety
Developed a solution using YOLO, DETR, and Deep Learning models for object detection in the BadODD dataset.
Utilized different road objects from nine districts of Bangladesh to cover a wide variety of objects, ensuring 43% accuracy in vehicle detection.