Surface Defect Detection Model for Aero-Engine Components Based on Improved YOLOv5

Aiming at the problems of low efficiency and poor accuracy in conventional surface defect detection methods for aero-engine components, a surface defect detection model based on an improved YOLOv5 object detection algorithm is proposed in this paper. First, a k-means clustering algorithm was used to...

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Hlavní autoři:	Xin Li, Cheng Wang, Haijuan Ju, Zhuoyue Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-07-01
Edice:	Applied Sciences
Témata:	aero engine surface defect detection YOLOv5 attention mechanism
On-line přístup:	https://www.mdpi.com/2076-3417/12/14/7235
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