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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書誌詳細

主要な著者:	Chao Chen, Zhuo Chen, Hao Li, Yawen Wang, Guangzhou Lei, Lingling Wu
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-01-01
シリーズ:	Sensors
主題:	photovoltaic cell defect detection YOLOv8 lightweighting FasterNet
オンライン･アクセス:	https://www.mdpi.com/1424-8220/25/3/843
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