Bolt positioning detection based on improved yolov5 for bridge structural health monitoring

HIGHLIGHTS

• who: Diyong Wang and colleagues from the Faculty of Engineering, China University of Geosciences, Wuhan, China have published the paper: Bolt Positioning Detection Based on Improved YOLOv5 for Bridge Structural Health Monitoring, in the Journal: Sensors 2023, 21, x FOR PEER REVIEW of /2023/
• what: Due to those questions the authors propose a new YOLOv5 for bridge structural health This paper makes three major contributions. The authors compare and verify the new method in the collected dataset. The contributions of this study are as follows: According to the calibration anchor boxes of bridge bolt images . . .
  

   

  

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