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RSE-YOLOv8: An Algorithm for Underwater Biological Target Detection.

Peihang Song¹, Lei Zhao¹, Heng Li¹

¹Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504, China.

Sensors (Basel, Switzerland)

|September 28, 2024

Summary

This study introduces an improved YOLOv8 model for underwater target detection, enhancing feature extraction and image quality. The new model offers superior accuracy and efficiency for ecological assessment and resource development.

Keywords:

RFAConv SAConv SPPF YOLOv8 underwater detection

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Area of Science:

Computer Vision
Machine Learning
Marine Technology

Background:

Underwater target detection is crucial for ecological assessment and resource development.
Existing models face challenges with underwater image quality and scale variations.
Optimizing underwater resource management requires robust detection systems.

Purpose of the Study:

To propose a novel underwater target detection model based on the YOLOv8 framework.
To enhance feature extraction capabilities for diverse target scales and improve underwater image quality.
To develop a model with reduced parameters for efficient deployment on resource-limited underwater devices.

Main Methods:

Redesigned the YOLOv8 C2f module using SAConv for improved multi-scale feature extraction.
Introduced RFESEConv convolution to address underwater image channel information degradation.
Integrated an ESPPF module to boost multi-scale feature extraction efficiency while reducing model parameters.

Main Results:

Achieved a mean Average Precision (mAP@50) of 78% and mAP@50:95 of 43.4% on an underwater dataset.
Demonstrated a 2.1% improvement over baseline models in both mAP metrics.
Showcased strong generalization and robustness across multiple datasets.

Conclusions:

The proposed YOLOv8-based model significantly enhances underwater target detection accuracy and efficiency.
The innovations effectively address challenges in underwater imaging and feature extraction.
The model offers practical value for environmental protection and underwater resource development.