I’ve been through Part 1 of the fastai course in its entirety, and I’m re-watching it all again now.
To aid my learning (and hopefully help somebody out), I’m trying to solve a problem for a friend using fastai, but wanted to get a few pointers from the more experienced folk here as to how to go about it.
They work in academia and take photographs of a patch of ground. They need to log the presence and frequency of a particular single entity (say “Mushrooms in this patch”).
I wasn’t sure how best to approach this problem, because (to my inexperienced mind) it’s not an Image Segmentation problem (à la Camvid), because they’re not concerned about the placement of the objects, nor is there an exhaustive list of potential labels. And it also doesn’t seem like an Image Classification problem, because it’s not a binary “Mushroom detected” or “No mushroom detected” situation, rather it’s “No mushroom detected” or “X mushrooms detected”.
Therefore I was wondering both how to approach the problem, and what the best architecture / approach to a solution might be.
I did search on the fastai forums before asking this question, but this was the closest thing I came across, which doesn’t quite help.
Any degree of feedback or guidance would be greatly appreciated!