An improved lightweight YOLOv11 algorithm for weld surface defect detection

Abstract Industrial welding often exhibits some essential problems, such as unclear defect characteristics and complex background information. However, the existing defect detection models have relatively high costs and may be weak in weld surface defect detection. To address the problem, this paper...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Runmei Zhang, Chenfei Pan, Zihua Chen, Jingwei Fan, Zhong Chen, Bin Yuan
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2026-02-01
Цуврал:	Scientific Reports
Нөхцлүүд:	Deep learning Defect detection YOLOv11 PConv
Онлайн хандалт:	https://doi.org/10.1038/s41598-026-41568-2
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!