Over the last six months I’ve been looking at machine learning on the edge, publishing a series of articles trying to answer some of the questions that people have been asking about inferencing on embedded hardware.
But, after a half year of posts, talks, and videos, it’s all bit of a sprawling mess and the overall picture is of what’s really happening is rather confusing.
So here’s a great big benchmarking roundup!
Excellent overview… and …
The Raspberry Pi 4 is probably the cheapest, most affordable, most accessible way to get started with embedded machine learning right now. Use it on its own with TensorFlow Lite for competitive performance, or with the Coral USB Accelerator from Google for ‘best in class’ performance.
Adafruit has had paid day off for voting for our team for years, if you need help getting that going for your organization, let us know – we can share how and why we did this as well as the good results. Here are some resources for voting by mail, voting in person, and some NY resources for our NY based teams as well. If there are additional resources to add, please let us know – adafruit.com/vote
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