Steel surface small defect target detection based on improved YOLOv8
An improved YOLOv8 network-based detection algorithm is proposed that incorporates a designed iRMB module that enhances multi-scale feature fusion through multi-layer feature extraction and residual structures, thereby improving the model’s ability to recognize small defects on steel surfaces.