YOLOv5n

Jia-Hui Tian1,2, Xue-Feng Feng3, Feng Li3

  • 1College of Computer Science and Technology, Xinjiang University, Urumqi, 830046, China.

Scientific reports
|March 22, 2025
PubMed
概括

本研究引入了用于工业表面缺陷检测的增强YOLOv5n算法,通过优化特征提取和信息融合来提高准确性. 升级后的模型在NEU-DET数据集上的平均精度提高了4.3%.

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