Real-Time Detection and Counting Method for Distant-Water Tuna Based on Improved YOLOv10n-EMCNet

Reliable real-time detection and counting of tuna during distant-water deck operations is critical for automated catch monitoring but remains challenging due to strong illumination variation, background clutter, and frequent occlusion. This study proposes YOLOv10n-EMCNet, an improved lightweight det...

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Detalles Bibliográficos

Principais autores:	Yuqing Liu, Zichen Zhang, Yuanchen Cheng, Hejun Liang, Jiacheng Wan, Chenye Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-04-01
Series:	Sensors
Assuntos:	distant-water fisheries tuna detection real-time monitoring object detection multi-object tracking automated counting
Acceso en liña:	https://www.mdpi.com/1424-8220/26/7/2240
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