An insulator target detection algorithm based on improved YOLOv5

An insulator target detection algorithm based on improved YOLOv5

Abstract Drone inspections are widely utilized in the detection of insulators in power lines. To address issues with traditional object detection algorithms, such as large parameter counts, low detection accuracy, and high miss rates, this paper proposes an insulator detection algorithm based on an...

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Bibliographic Details
Main Authors: Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
YOLOv5
Insulator
CSP-SCConv
RFB
LSKBlock
Online Access:https://doi.org/10.1038/s41598-024-84623-6

Internet

https://doi.org/10.1038/s41598-024-84623-6

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