At the end of the video Jeremy suggests trying running the image classification with our own image set.
How do you go about it?
My understanding is that I need to download a bunch of images two different objects and put those in different folders, but I am not clear on the folder naming or location.
The current dataset folder structure looks like this:
ls data/dogscats/ models/ sample/ test1/ tmp/ train/ valid/
Let’s say that I want to classify bears and deer. I assume that I need to create a folder in
data/bearsdeer/train/ and put a bunch of bear and deer images in that. After that put another bunch bears, deer and other images in
data/bearsdeer/valid. Is that correct?
What are the other folders for and do I need to worry about those?