Single-target detection of Oncomelania hupensis based on improved YOLOv5s

To address the issues of low detection accuracy and poor effect caused by small Oncomelania hupensis data samples and small target sizes. This article proposes the O. hupensis snails detection algorithm, the YOLOv5s-ECA-vfnet based on improved YOLOv5s, by using YOLOv5s as the basic target detection...

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Detalles Bibliográficos
Autores principales: Fang, Juanyan, Meng, Jinbao, Liu, Xiaosong, Li, Yan, Qi, Ping, Wei, Changcheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9473633/
https://www.ncbi.nlm.nih.gov/pubmed/36118567
http://dx.doi.org/10.3389/fbioe.2022.861079

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9473633/
https://www.ncbi.nlm.nih.gov/pubmed/36118567
http://dx.doi.org/10.3389/fbioe.2022.861079

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