This year, AI took centerstage at Google Next and Google I/O, in line with a company-wide effort to make “AI for Everyone”. A major takeaway from the conferences was the focus on edge computing. Traditionally, hardware limitations have made this too prohibitive. With advancements in ML greatly reducing model sizes, and devices gaining compute power, this is now within our reach.

Another huge announcement at Google I/O was the release of Flutter 1.5, Google’s cross-platform app development framework.

With the release of Firebase AutoML Vision Edge, we are now able to run AutoML developed models on iOS and Android devices natively. Naturally, being a Flutter enthusiast, I wanted to extend this functionality, making it available to Flutter developers as a package!

Built using a fork of the OG firebase_ml_vision, this adds new AutoML Vision Edge functionality to the package.