Lightweight aerial image object detection algorithm based on improved YOLOv5s

YOLOv5 is one of the most popular object detection algorithms, which is divided into multiple series according to the control of network depth and width. To realize the deployment of mobile devices or embedded devices, the paper proposes a lightweight aerial image object detection algorithm (LAI-YOL...

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Detalles Bibliográficos
Autores principales: Deng, Lixia, Bi, Lingyun, Li, Hongquan, Chen, Haonan, Duan, Xuehu, Lou, Haitong, Zhang, Hongyu, Bi, Jingxue, Liu, Haiying
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/PMC10185568/
https://www.ncbi.nlm.nih.gov/pubmed/37188735
http://dx.doi.org/10.1038/s41598-023-34892-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10185568/
https://www.ncbi.nlm.nih.gov/pubmed/37188735
http://dx.doi.org/10.1038/s41598-023-34892-4

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