Lesson 3 - Official Topic

[sut (Will Sutton)]

I’ll plug my project which is looking at “out of domain” situation with different chess piece sets (as noted by @wdhorton) if you have any thought

Train on one dataset, Predict on a different but similar one

It might be useful to look into the literature on domain adaptation, since that’s essentially the problem you’re facing. If you’re not already, I’d suggest pushing the data augmentation to the max since you’re working with so few images. I’d even look into some methods of synthetic data creation (via GAN or otherwise) to add to your training data set.