Real-time detection of particleboard surface defects based on improved YOLOV5 target detection

Particleboard surface defect detection technology is of great significance to the automation of particleboard detection, but the current detection technology has disadvantages such as low accuracy and poor real-time performance. Therefore, this paper proposes an improved lightweight detection method...

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Detalles Bibliográficos
Autores principales: Zhao, Ziyu, Yang, Xiaoxia, Zhou, Yucheng, Sun, Qinqian, Ge, Zhedong, Liu, Dongfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571343/
https://www.ncbi.nlm.nih.gov/pubmed/34741057
http://dx.doi.org/10.1038/s41598-021-01084-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571343/
https://www.ncbi.nlm.nih.gov/pubmed/34741057
http://dx.doi.org/10.1038/s41598-021-01084-x

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