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Lightweight PCB Surface Defect Detection Algorithm Based on Improved YOLOv8n
Artificial Intelligence | 更新时间：2025-04-14

    • Lightweight PCB Surface Defect Detection Algorithm Based on Improved YOLOv8n

    • “According to a report by a technology media reporter, an improved YOLOv8n algorithm has been proposed to address the issues of low accuracy and high computational complexity in PCB defect detection, significantly optimizing detection accuracy mAP、 The mAP reaches 96.6% in terms of computational and parameter complexity.”
    • Software Guide   Vol. 24, Issue 4, Pages: 69-74(2025)

    • DOI：10.11907/rjdk.241817    

      CLC： TP391

    • Received：28 October 2024，

      Published：15 April 2025

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  • ZHU Zeyu,XIAO Mansheng,XU Meng,et al.Lightweight PCB Surface Defect Detection Algorithm Based on Improved YOLOv8n[J].Software Guide,2025,24(04):69-74. DOI： 10.11907/rjdk.241817.

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