An improved yolov5 method for small object detection in uav capture scenes

HIGHLIGHTS

• who: ZHEN LIU and collaborators from the College of Intelligent Equipment, Shandong University of Science and Technology, Tai`an, Shandong, China have published the research work: An Improved YOLOv5 Method for Small Object Detection in UAV Capture Scenes, in the Journal: (JOURNAL)
• what: The experiments show that the improved YOLOv5 model can improve object detection accuracy for UAV capture scenes. In this paper, the Feature Enhancement Block (FEBlock) and the Self-Characteristic Expansion Plate (SCEP) are designed and introduced into the original Spatial Pyramid Pooling (SPP) module of YOLOv5. In this paper, P2, P3, P4 . . .
  

   

  

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