Automatic Detection of Surface Defects on Underwater Pile-Pier of Bridges Based on Image Fusion and Deep Learning

Table 1

The results of precision and recall.

Defect types	(%)	R (%)
Crack	93.14	84.02
Hole	98.50	97.04
Exre	90.48	80.00
Swelling	98.63	98.63
Mean	95.19	88.04

The significance of bold values is the average values of precision and recall of the above four defects, respectively.