Hi All,
So I have a dataset with 411 classes (different persons) and a network that should try to recognise these subjects based on their iris (iris recognition system). But before I train I need to split up my images in validation and training sets. I Have around 20 images per person so I want do distribute it quite evenly thus that for each person (each class) 80% is used for training and 20% for validation.
How do I do this?
Thanks in Advance