Evaluating YOLO26s for Multi-Class Pavement Crack Detection: A Lightweight Approach for Sustainable Edge Deployment
This study presents YOLO26s, a lightweight DL model for multi-class pavement crack detection across diverse environmental and geographic conditions, and highlights the potential of efficient AI-driven inspection systems to enhance environmental and economic sustainability in civil infrastructure.