The Raspberry Pi provides an interesting environment for machine learning. It has a relatively powerful CPU & GPU, is low cost, supports many of the Linux packages/drivers, and can still be used as a microcontroller to interface with a myriad of different sensors, motors, and other peripherals.
The goal of this project is to provide a useful working framework and environment to easily incorporate object detection and machine learning into all of your projects using Teachable Machine. It detects flavors of La Croix soda in this demo.
Teachable Machine is an easy, quick, but powerful tool to create machine learning models. It allows for easy data capture to create training data sets and uses state of the art algorithms to train machine learning models right in your browser. It is done in a very intuitive web interface. You can generate image, sound, or pose detection models.
See the video below, the Instructable, and the GitHub repo.
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