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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Bibliographic Details
Published in:	Journal of Marine Science and Engineering
Main Authors:	Yanyang Lu, Jingjing Zhang, Qinglang Chen, Chengjun Xu, Muhammad Irfan, Zhe Chen
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	underwater object detection underwater sonar images tracking underwater classification marine detection marine classification
Online Access:	https://www.mdpi.com/2077-1312/13/1/73

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