Train classifier on synthetic images to recognise real images
I am trying to train a classifier (let's say to classify an object X or not X). But I don't have too much real images of object X which I want to classify. So I made some synthetic images of my own using some photo editing tools, but the problem is after feeding synthetic data my classifier doesn't recognise the real object. And since I had like 2-3 images of real object so I can't feed it more real data. Is there any solution on how to approach such problem with synthetic data to recognise real ones?
Topic image-classification
Category Data Science