Detection of railway catenary insulator defects based on improved YOLOv5s

In this article, a method of railway catenary insulator defects detection is proposed, named RCID-YOLOv5s. In order to improve the network’s ability to detect defects in railway catenary insulators, a small object detection layer is introduced into the network model. Moreover, the Triplet Attention...

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Detalles Bibliográficos
Autores principales: Tang, Jing, Yu, Minghui, Wu, Minghu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403183/
https://www.ncbi.nlm.nih.gov/pubmed/37547415
http://dx.doi.org/10.7717/peerj-cs.1474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403183/
https://www.ncbi.nlm.nih.gov/pubmed/37547415
http://dx.doi.org/10.7717/peerj-cs.1474

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