An improved YOLO11 UAV toy models target detection model.

ABSTRACT: The challenges of Unmanned Aerial Vehicle (UAV) military target detection mainly come from the lack of training datasets and the requirements of high real-time and high precision. Due to the particularity and confidentiality of military-related data, publicly available military target datasets are very scarce. In this study, ArmoredCar, FixedWing, and Tank toy models were photographed in different environments and manually annotated to construct the Toy-3 dataset. Then, a multi-scene image enhancement method was designed based on the Toy-3 dataset. By simulating the common degradation factors in the UAV image acquisition process, more complex and diverse training data were generated, and an extended dataset Toy-3-Enhanced, which is closer to the actual mission scene, was constructed. Subse

SUBMITTER: Hu Y 

PROVIDER: S-EPMC12660764 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature