Build a Teachable Machine Image Classifier With Your Kid

Introduce your child to the core concepts of machine learning by building a custom, real-time visual recognition model.

In an era dominated by discussions about artificial intelligence, teaching children how these systems actually work is one of the most valuable skills a parent can provide.

Instead of just consuming technology, children aged eight to sixteen can easily build their own functional machine learning models in less than twenty minutes. Using a computer with a standard webcam and a free web-based tool, you and your child can demystify AI by training a computer to recognize different objects, hand gestures, or facial expressions. This hands-on project builds critical thinking, logical reasoning, and a foundational understanding of data science.

Getting Started with Teachable Machine

To begin this project, you do not need any coding experience, paid subscriptions, or specialized hardware. You only need a laptop or desktop computer equipped with a working webcam and an internet connection.

Open a web browser and navigate directly to Google's Teachable Machine . Click on the "Get Started" button, and select "Image Project" from the available options. Next, choose the "Standard Image Model" option. This will open the main workspace where you and your child will build, train, and test your custom visual classifier.

Step 1: Define Your Classes and Gather Data

A machine learning model learns by comparing different categories of information, which are called "classes." For this project, we recommend building a simple "Rock, Paper, Scissors" game classifier, or a tool that distinguishes between a favorite toy and a school book.

On the screen, you will see two default boxes labeled "Class 1" and "Class 2." Click the pencil icon to rename them. For example, rename Class 1 to "Rock" and Class 2 to "Paper." You can click "Add a class" to create a third box named "Scissors."

Now, it is time to gather data. Click the "Webcam" button inside the first class box. Have your child hold their hand in a "Rock" fist in front of the camera. Click and hold the "Hold to Record" button. Capture at least one hundred images while your child slightly rotates their hand, moves it closer to the camera, and moves it further away. This variety helps the computer learn the general shape of a fist rather than just one specific angle. Repeat this exact process for the "Paper" and "Scissors" classes.