YOLO-ADS: An Improved YOLOv8 Algorithm for Metal Surface Defect Detection
Zili Gui,
Jianping Geng
Abstract:Addressing issues such as susceptibility to background interference and variability in feature scales of fine-grained defects on metal surfaces, as well as the relatively poor versatility of the baseline model YOLOv8n, this study proposes a YOLO-ADS algorithm for metal surface defect detection. Firstly, a novel CSPNet with Average SPP-Fast Block (ASPPFCSPC) module is proposed to enhance the model’s fusion and representation ability between local features and global background information. Secondly, the newly i… Show more
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