I'm happy to announce that we've got another Prodigy tutorial on our Youtube channel! This one is about finding bad examples in the Google QuickDraw dataset. The video shows a nice trick that involves a custom image server for Prodigy as well as neat UMAP technique to find bad data.
You can watch the new video here or on YouTube .
The content is designed to be interesting if you're a Prodigy user who wants to make custom recipes, but general enough such that a general data science audience might also learn a trick or two. I genuinely hope that these videos help folks get better datasets for their models. There's a lot of work to do in this space!