People are using AI to explore all kinds of ideas—identifying the roots of bad traffic in Los Angeles, improving recycling rates in Singapore, and even experimenting with dance. Getting started with your own machine learning projects might seem intimidating, but Teachable Machine is a web-based tool that makes it fast, easy, and accessible to everyone.
The first version of Teachable Machine let anyone teach their computer to recognize images using a webcam. For a lot of people, it was their first time experiencing what it’s like to train their own machine learning model: teaching the computer how to recognize patterns in data (images, in this case) and assign new data to categories.
Since then, we’ve heard from lots of people who want to take their Teachable Machine models one step further and use them in their own projects. Teachable Machine 2.0 lets you train your own machine learning model with the click of a button, no coding required, and export it to websites, apps, physical machines and more. Teachable Machine 2.0 can also recognize sounds and poses, like whether you’re standing or sitting down.
We collaborated with educators, artists, students and makers of all kinds to figure out how to make the tool useful for them. For example, education researcher Blakeley H. Payne and her teammates have been using Teachable Machine as part of open-source curriculum that teaches middle-schoolers about AI through a hands on learning experience.
“Parents—especially of girls—often tell me their child is nervous to learn about AI because they have never coded before,” Blakeley said. “I love using Teachable Machine in the classroom because it empowers these students to be designers of technology without the fear of ‘I’ve never done this before.’”
But it’s not just for teaching. Steve Saling is an accessibility technology expert who used it to explore improve communication for people with impaired speech. Yining Shi has been using Teachable Machine with her students in the Interactive Telecommunications Program at NYU to explore its potential for game design. And at Google, we’ve been using it make physical sorting machines easier for anyone to build. Here’s how it all works:
