Deep Learning-Enabled Automatic Detection of Bridges for Promoting Transportation Surveillance under Different Imaging Conditions

Figure 16

The comparisons of four different detection methods (i.e., (b) Faster R-CNN, (c) YOLOv3, (d) YOLOv4, and (e) YOLOv5s) for bridge detection under realistic hazy imaging scenarios. (a) Original. (b) Faster R-CNN, (c) YOLOv3, (d) YOLOv4. (e) YOLOv5s.

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