Research on Defect Detection in Lightweight Photovoltaic Cells Using YOLOv8-FSD

Given the high computational complexity and poor real-time performance of current photovoltaic cell surface defect detection methods, this study proposes a lightweight model, YOLOv8-FSD, based on YOLOv8. By introducing the FasterNet network to replace the original backbone network, computational com...

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Xehetasun bibliografikoak

Egile Nagusiak:	Chao Chen, Zhuo Chen, Hao Li, Yawen Wang, Guangzhou Lei, Lingling Wu
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-01-01
Saila:	Sensors
Gaiak:	photovoltaic cell defect detection YOLOv8 lightweighting FasterNet
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/25/3/843
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