It's curious to see that they chose ResNet50 as an architecture. Although there was EfficientNet mentioned in the References.

No word on frameworks, although they used GradCAMs for Keras/TF. So, I am guessing Keras.

They are using voting. And achieving 98% accuracy in 10 votes. Is the model overfit?

This might be novel in archaelogy, but this is a very very easy task to perform for a DL practitioner. But they took their time to read a lot about ML interpretablity, tSNE, transferable features, etc and they cited them. Wanted to be rigorous.