Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios

Fire-detection technology is of great importance for successful fire-prevention measures. Image-based fire detection is one effective method. At present, object-detection algorithms are deficient in performing detection speed and accuracy tasks when they are applied in complex fire scenarios. In thi...

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Hauptverfasser:	Hao Xu, Bo Li, Fei Zhong
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-12-01
Schriftenreihe:	Applied Sciences
Schlagworte:	fire detection Light-YOLOv5 global attention mechanism lightweight
Online-Zugang:	https://www.mdpi.com/2076-3417/12/23/12312
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