Hi Friends, am trying to understand how should I have my folder structure, if I want to use the VGG from Lesson 1, to a problem statement like this - Lets say I need to identify the breed of dog or cat, from the image. Should I need to keep my folder structure(under train, test, valid etc) as dogs -> breed1/breed2 etc and cats -> breed1/breed2 etc? If not, pls guide on how to do the same. And how should the image naming convention be? dog.breed1.1.jpg? Lets say if I want to identify by feature 1 more level deep, should I keep my folder structure as Level -> Level2 -> Level3 and images as Level1.Level2.Level3.1.jpb? Pls advice.
Also if I want to do learning on a data rather than on images, pls let me know how can we go about the same? Can we use the same VGG model? or is there any other model suitable for those kinds?
Pls let me know if you need more details.