Research on Ship Identity Recognition Using Large Vision Model
This article proposes a method for identifying ship identities in the supervision of ships in inland river basins,addressing the issue of low accuracy in ship recognition.Targeted training is conducted using a large amount of real data,and the effective combination of target recognition small models and visual large models analysis significantly improves video processing efficiency and large language model analysis efficiency,saving network bandwidth and AI computing resources.The research results indicate that the method proposed in this article has significant advantages in improving the accuracy and efficiency of ship identity recognition,and can provide effective technical support for inland river ship supervision.
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