Table 3.

Accuracy, precision, recall, and F1-score corresponding to the CNN-based deep learning models. Values presented in the table are in the format of mean ± standard deviation.

	Accuracy	Precision	Recall	F1-Score
ResNet-18	0.927 ± 0.025	0.808 ± 0.094	0.808 ± 0.065	0.807 ± 0.074
MobileNet-v2	0.912 ± 0.022	0.775 ± 0.111	0.773 ± 0.040	0.772 ± 0.070
ResNet-50	0.927 ± 0.025	0.807 ± 0.096	0.808 ± 0.068	0.806 ± 0.075
ResNet-101	0.934 ± 0.020	0.823 ± 0.113	0.837 ± 0.096	0.822 ± 0.054
Inception-v3	0.933 ± 0.027	0.822 ± 0.119	0.833 ± 0.100	0.821 ± 0.082
Inception-ResNet-v2	0.941 ± 0.018	0.840 ± 0.064	0.843 ± 0.061	0.840 ± 0.051