Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features

Table 5

Performance metrics of DCNN models with processing time.

Pretrained model	Accuracy	Error	Sensitivity	Specificity	Precision	False positive rate	Time
AlexNet	100	0	100	100	100	0	47 s
VGG-16	95	0.05	100	85	92	0.145	3 min 34 s
VGG-19	97.8	0.0216	100	93.75	96.8	0.0625	3 min 55 s
GoogLeNet	99.3	0.0072	98.9	100	100	0	1 min 38 s
ResNet50	100	0	100	100	100	0	3 min 12 s
ResNet101	100	0	100	100	100	0	6 min 52 s