Bing-Zhang Li

An improved YOLOv5 approach for real-time steel surface defect detection using attention mechanism and lightweight architecture

Steel surface defect detection has important practical significance in industrial production. High-precision detection ensures product quality, while extreme real-time performance matches the pace of high-speed assembly lines. Existing models struggle with complex background textures and real-time edge deployment. Depl...