This toolkit was made for Android and iOS developers who want to make their apps more engaging. Its API can be used to implement bar scanning, face detection, image labeling features, and more without having to create an ML model from scratch. All the necessary processing happens on the mobile device of the user in real-time so there is no need for you to worry about setting up and hosting expensive servers.
Teachable Machine is flexible – use files or capture examples live. It’s respectful of the way you work. You can even choose to use it entirely on-device, without any webcam or microphone data leaving your computer.
Teach a model to classify images using files or your webcam.
Teach a model to classify audio by recording short sound samples.
Teach a model to classify body positions using files or striking poses in your webcam.
A DIY experiment connecting Arduino and Teachable Machine.
Steve Saling is using Teachable Machine to communicate in new ways, such as using facial gestures to trigger sounds.
Vince MingPu Shao used Teachable Machine to turn their webcam and a piece of paper into a game controller.
A physical machine that you can teach to rapidly recognize and sort objects using your own custom machine learning models.
Use Teachable Machine to train a video game controller. (Also see the accompanying lesson plan below.)