Table 3.

Classification accuracy of various trained models on the validation and test sets

Trained model	Six-class			Three-class
	Validation set accuracy	Test set accuracy		Validation set accuracy	Test set accuracy
ResNet-101	62.63	61.62		75.76	82.83
ResNet-18	54.55	44.44		82.83	64.65
ResNet-50	65.66	50.51		82.83	79.8
VGG19	63.64	59.6		82.83	79.8
DenseNet	64.65	59.6		82.83	78.79
ResNeXt-50	65.66	55.56		82.83	65.66
ResNeXt-101	68.69	52.53		83.84	74.75
MobileNetV2	65.66	48.49		83.84	78.79
InceptionV3	54.55	51.52		77.78	69.7
ResNet-152	62.63	45.45		77.78	70.71