Enhancing Vehicle Detection Accuracy Using YOLOv8n and CLAHE-Based Image Preprocessing in Foggy and Rainy Conditions
Most traffic monitoring systems used in Indian cities share a common problem that is overlooked; the object detection models implemented in the systems are not designed specifically for use on Indian roads. Popular object detection models like YOLO [1] are trained using existing datasets such as Microsoft COCO [5], whi...