It’s a great exercise that allows you to go through all the steps from finding data, cleaning them, organize them and finally train them.
Concerning the number, you must experiment but always start small and increase.
About overfitting, it depends you figure out whether it is overfitting or underfitting or good by looking at the different losses.
Also it’s a good idea to experiment different architecture: resnext50, denset, …
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