YOLOv8-cop: an improved YOLOv8-based surface defect detection algorithm for special-shaped copper strips

The surface quality of shaped copper strips plays an essential role in the quality of the product. Currently, detecting defects on shaped copper strips primarily relies on manual visual inspection. However, inspectors’ subjective judgment and fatigue may affect the inspection results, leading to poo...

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Autores principales:	Fucheng Wang, Wenqian Zhang, Ming Chen, Gen Liu, Zhiyue Shi, Ping Qi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	PeerJ Inc. 2026-06-01
Colección:	PeerJ Computer Science
Materias:	Shaped copper strip defect detection YOLOv8 ASFF Slim-neck Inner-SIoU
Acceso en línea:	https://peerj.com/articles/cs-3771.pdf
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