A Comparative Study of Two Road Pothole Datasets for Instance Segmentation Using YOLO-Seg and K-Fold Cross-Validation
Road potholes are a persistent form of pavement deterioration that threatens public safety and imposes recurring costs on transportation agencies. Vision-based instance segmentation offers a scalable and precise approach for delineating such defects, with YOLO-family models extended with segmentation heads achieving st...