Cost-Sensitive YOLOv5 for Detecting Surface Defects of Industrial Products

Owing to the remarkable development of deep learning algorithms, defect detection techniques based on deep neural networks have been extensively applied in industrial production. Most existing surface defect detection models assign equal costs to the classification errors among different defect cate...

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Detalles Bibliográficos
Autores principales: Liu, Ben, Gao, Feng, Li, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007231/
https://www.ncbi.nlm.nih.gov/pubmed/36904815
http://dx.doi.org/10.3390/s23052610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007231/
https://www.ncbi.nlm.nih.gov/pubmed/36904815
http://dx.doi.org/10.3390/s23052610

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