Single-target detection of Oncomelania hupensis based on improved YOLOv5s

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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Bibliographic Details
Main Authors: Juanyan Fang, Jinbao Meng, Xiaosong Liu, Yan Li, Ping Qi, Changcheng Wei
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
the YOLOv5 algorithm
the YOLOv5
method of coordinated attention
target detection
effective channel attention mechanism
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.861079/full

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