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Computer Science > Computer Vision and Pattern Recognition

arXiv:2309.03539 (cs)
[Submitted on 7 Sep 2023]

Title:YOLO series target detection algorithms for underwater environments

Authors:Chenjie Zhang, Pengcheng Jiao
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Abstract:You Only Look Once (YOLO) algorithm is a representative target detection algorithm emerging in 2016, which is known for its balance of computing speed and accuracy, and now plays an important role in various fields of human production and life. However, there are still many limitations in the application of YOLO algorithm in underwater environments due to problems such as dim light and turbid water. With limited land area resources, the ocean must have great potential for future human development. In this paper, starting from the actual needs of marine engineering applications, taking underwater structural health monitoring (SHM) and underwater biological detection as examples, we propose improved methods for the application of underwater YOLO algorithms, and point out the problems that still exist.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2309.03539 [cs.CV]
  (or arXiv:2309.03539v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2309.03539

Submission history

From: Chenjie Zhang [view email]
[v1] Thu, 7 Sep 2023 07:52:57 UTC (16,497 KB)
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