Vehicle target detection method based on improved YOLO V3 network model.

ABSTRACT: For the problem of insufficient small target detection ability of the existing network model, a vehicle target detection method based on the improved YOLO V3 network model is proposed in the article. The improvement of the algorithm model can effectively improve the detection ability of small target vehicles in aerial photography. The optimization and adjustment of the anchor box and the improvement of the network residual module have improved the small target detection effect of the algorithm. Furthermore, the introduction of the rectangular prediction frame with orientation angles into the model of this article can improve the vehicle positioning efficiency of the algorithm, greatly reduce the problem of wrong detection and missed detection of vehicles in the model, and provide ideas for

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC10703074 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature