Prodigy Tutorial Video: Finding Bad Examples in Image Classification

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!