[unixlikeposting]

>The ideal toy dataset should be procedurally generated so that researchers can smoothly vary parameters such as background noise, translation, and resolution.

It's been a minute since I last touched ML, but that seems like a fairly extreme claim. Am I wrong in thinking this?

[pkghost]

What's extreme about it? I'm new to ML, but this seems great from a testing and verification perspective. I actually feel like Christmas came early, here, because I'm eager to explore novel model architectures, and having a small and easily manipulable dataset to experiment with seems perfect for that.