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Aerospace Object Detection Algorithm Based on Enhanced YOLOv5s Model
Graphic and Image Processing | 更新时间：2025-04-10
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    • Aerospace Object Detection Algorithm Based on Enhanced YOLOv5s Model

    • “In the field of aerial image object detection, the YOLO-SC2 algorithm improves the accuracy of small object detection by improving the network structure and loss function, providing a new solution for solving the problem of aerial image detection.”
    • Software Guide   Vol. 24, Issue 3, Pages: 193-199(2025)

    • DOI：10.11907/rjdk.241122    

      CLC： TP391.41

    • Received：19 March 2024，

      Published：15 March 2025

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  • LU Yifei,LIN Kaixin,ZOU Wenwen,et al.Aerospace Object Detection Algorithm Based on Enhanced YOLOv5s Model[J].Software Guide,2025,24(03):193-199. DOI： 10.11907/rjdk.241122.

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