Build a Teachable Machine Image Classifier With Your Kid

Demystify computer vision and supervised learning by training a custom AI model together in twenty minutes.

Most children consume AI through chatbots, image generators, or video recommendations, but few understand how these systems actually work. By building a custom image classifier, you can demystify artificial intelligence for your child and turn them from passive consumers into active creators. Using a free, web-based tool that requires no coding or specialized hardware, you and your child can train a computer vision model in less than twenty minutes. This hands-on project introduces foundational computer science concepts while fostering critical thinking about how machines perceive the physical world.

To prepare the next generation for an AI-driven world, we must move beyond theoretical explanations. Children learn best by building, testing, and breaking things. Google's Teachable Machine is an exceptional, free educational platform that allows anyone to train a machine learning model using a webcam. It provides an immediate, visual feedback loop that makes complex concepts like neural networks and training data intuitive for children aged 8 to 16.

In this project, you and your child will build a "Desk Object Classifier." The goal is to train a computer vision model to recognize three distinct objects commonly found in a home office: a coffee mug, a notebook, and a smartphone.

Setting Up the Project

To begin, you only need a computer with a working webcam and an internet connection. No registration, login, or paid subscription is required.

• Open your web browser and navigate directly to Google's Teachable Machine .
• Click the Get Started button on the homepage.
• Select Image Project from the list of options, then choose Standard Image Model .

You will now see the project workspace. It consists of three main columns: Class Creation on the left, Training in the middle, and Preview on the right.

Step 1: Defining the Classes