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Updated: May 2, 2026

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YOLOv8-DEE:一种用于印刷电路板缺陷检测的高精度模型

Feifan Yi1,2, Ahmad Sufril Azlan Mohamed1, Mohd Halim Mohd Noor1

  • 1School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia.

PeerJ. Computer science
|March 10, 2025
PubMed
概括

一个新的深度学习模型YOLOv8-DEE显著提高了印刷电路板 (PCB) 缺陷检测的准确性. 这种先进的方法增强了特征提取和本地化,以实现更可靠的消费电子产品生产.

关键词:
计算机视觉 计算机视觉 计算机视觉深度学习是一种深度学习.缺陷检测检测 缺陷检测 缺陷检测这就是为什么PCB PCB.这是一个YOLO YOLO.

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