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

Figure 10

The comparisons of different competing methods for bridge detection under complex backgrounds. From left to right: (a) original images and detected results by (b) Faster R-CNN, (c) YOLOv3, (d) YOLOv4, and (e) YOLOv5s, respectively.

(a)

(b)

(c)

(d)

(e)