Marine ship target detection based on deep learning
To address the challenges of target detection in the vast marine environment and develop advance marine target detection technology,this paper proposes a marine ship automatic detection and recognition technology based on the deep learning framework YOLOv5.The technology enables real-time detection of small targets such as marine ships,with a compact size that overcomes the speed and performance limitations of traditional target detection techniques.Its application can effectively enhance efficiency and reliability in marine transportation,marine search and rescue,and national defense security fields.The experimental results demonstrate that the proposed solution for ship visual recognition is both rapid and accurate,confirming the significant value of YOLOv5 in ship detection and providing crucial support and assurance for relevant applications.
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