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AquaYOLO: Enhancing YOLOv8 for Accurate Underwater Object Detection for Sonar Images

Object detection in underwater environments presents significant challenges due to the inherent limitations of sonar imaging, such as noise, low resolution, lack of texture, and color information. This paper introduces AquaYOLO, an enhanced YOLOv8 version specifically designed to improve object dete...

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Principais autores: Yanyang Lu, Jingjing Zhang, Qinglang Chen, Chengjun Xu, Muhammad Irfan, Zhe Chen
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-01-01
coleção:Journal of Marine Science and Engineering
Assuntos:
underwater object detection
underwater sonar images
tracking
underwater classification
marine detection
marine classification
Acesso em linha:https://www.mdpi.com/2077-1312/13/1/73
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