Table 1.

The Inception V3, Inception Resnet V2, and Xception architectures pre-trained and bench-marked on the ImageNet dataset to illustrate each architectures performance on a generalised dataset and to justify the selection of architectures in the study.

Network	Top-1 Accuracy	Top-5 Accuracy
Alexnet22	0.6330	0.8460
Inception V328	0.790	0.945
Inception Resnet V230	0.779	0.937
Xception26	0.803	0.953