A Light-Weight Network for Small Insulator and Defect Detection Using UAV Imaging Based on Improved YOLOv5.

Zhang, Tong; Zhang, Yinan; Xin, Min; Liao, Jiashe; Xie, Qingfeng

Zhang, Tong; Zhang, Yinan; Xin, Min; Liao, Jiashe; Xie, Qingfeng.

Afiliación

Zhang T; College of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Zhang Y; College of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Xin M; College of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Liao J; College of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
Xie Q; College of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 541004, China.

Sensors (Basel) ; 23(11)2023 Jun 01.

Article en En | MEDLINE | ID: mdl-37299976

Asunto(s)

Diagnóstico por Imagen; Cuello; Columna Vertebral; Dispositivos Aéreos No Tripulados

Palabras clave

YOLOv5; convolutional block attention module; ghost module; insulator and defect detection; keyword light-weight; unmanned aerial vehicles

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diagnóstico por Imagen / Cuello Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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