Directory structure like in dogscats/.(atleast I kept it this way)
|-- catpic0, catpic1, …
|-- dogpic0, dogpic1, …
|-- catpic0+x, catpic1+x, …
|-- dogpic0+x, dogpic1+x, …
|-- catpic0+x+y, catpic1+x+y, dogpic0+x+y, dogpic1+x+y
Becareful With the naming of the files also..
Also note that you will need a mapping of image names and classes as well like in a CSV or something...
Also there is no globally accepted directory structure, it completely depends on the API you will use...
What is a good train/validation/test split?(depends on your dataset size)
- can do $80/20$ (train/validation)
if you have or are creating a 'test' split, use for (train/validation/test):
- can do $80/15/5$
- can do $70/20/10$
- can do $60/20/20$
Remembering that sole aim is to generalize eventually on test sets...