Build a Teachable Machine Image Classifier With Your Kid

Introduce your child to the fundamentals of machine learning by building a custom visual AI model in under thirty minutes.

Most children today are passive consumers of artificial intelligence. They interact with recommendation algorithms on video platforms, use voice assistants to play music, and ask chatbots to help with homework. However, understanding how these systems actually work is the key to moving from a passive consumer to an active creator. By building a custom image classifier, children aged eight to sixteen can demystify the technology and gain an intuitive grasp of machine learning. This guide details a step-by-step project using Google's free Teachable Machine tool, requiring no coding experience, no paid subscriptions, and no specialized hardware.

Step 1: Choosing a Project and Setting Up

To begin, gather your child and a computer equipped with a standard webcam. Open a web browser and navigate directly to the Google Teachable Machine website at https://teachablemachine.withgoogle.com/ . Click on the "Get Started" button and select "Image Project," followed by "Standard Image Model."

Before capturing data, decide on a fun, visual classification project. Excellent options for beginners include a "Rock, Paper, Scissors" game, a classifier that distinguishes between different toy cars (such as Lego versus Hot Wheels), or a model that recognizes different family members or pets. For this guide, we will use a classic "Rock, Paper, Scissors" classifier as our primary example. This project is highly interactive and provides immediate, visual feedback that keeps children engaged throughout the process.

Step 2: Gathering and Labeling Training Data

On the screen, you will see two default classes labeled "Class 1" and "Class 2." Rename these classes to match your project. For our example, rename "Class 1" to "Rock" and "Class 2" to "Paper." Click the "Add a class" button to create a third class and name it "Scissors."

Now, it is time to gather training data. Click the "Webcam" button under the "Rock" class. Instruct your child to hold their hand in a fist (the rock gesture) in front of the webcam. Click and hold the "Hold to Record" button to capture approximately one hundred images. Encourage your child to slowly rotate their hand, move it closer and further from the camera, and change the angle. This variation is crucial because it teaches the computer to recognize the gesture under different conditions, rather than just memorizing a single static image.