Metal surface defect detection based on improved YOLOv5

During the production of metal material, various complex defects may come into being on the surface, together with large amount of background texture information, causing false or missing detection in the process of small defect detection. To resolve those problems, this paper introduces a new model...

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Detalles Bibliográficos
Autores principales: Zhou, Chuande, Lu, Zhenyu, Lv, Zhongliang, Meng, Minghui, Tan, Yonghu, Xia, Kewen, Liu, Kang, Zuo, Hailun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681978/
https://www.ncbi.nlm.nih.gov/pubmed/38012224
http://dx.doi.org/10.1038/s41598-023-47716-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681978/
https://www.ncbi.nlm.nih.gov/pubmed/38012224
http://dx.doi.org/10.1038/s41598-023-47716-2

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