Hi,
I am currently constructing a semi adversarial auto-encoder. Thus I have two trained networks, one classifier (Male and Female) and one Authenticator (which subject -> Around 450 classes). Because I have to find the two classes of one item I need to strategically organize my data. My question is how can I label the data the best such that is not that much of a hassle?
Is it a good idea to create my own pytorch data base with the following  structure:
{‘image’ : image , [‘gender’ : string, ‘personID’:string] }
Thanks in advance
Kind regards