Now that you’ve trained your very first artificial intelligence (AI) model and used it in a Scratch project, it’s time to level up! In this final chapter, you’ll create a brand-new model using image recognition, which means your program can “see” what’s in a picture. Specifically, you’ll build a fun, interactive Scratch project called Pico’s Colors where a sprite friend named Pico looks through your camera and tells you what it sees (specifically, what color it sees) — similar to how an AI-powered robot with computer vision reacts to its environment.
Image recognition is a powerful part of AI. It’s used in self-driving cars that read road signs, apps that identify plants and animals, and smart robots that can sort recycling or help doctors look at X-rays. By training your own color-recognizing model, you’ll learn how to give your code “eyes” to explore the world. Importantly, you’ll also discover that training a useful, accurate model requires a lot of data, time, and revisions. But as you level up, you’re building the skills and mindset needed to create real value for real people — and preparing for amazing tech careers in your future!
Generated with AI using DALL·E – OpenAI
Brainstorming Machine Learning Image Models
From tinkering with Machine Learning for Kids (ML4K) in Chapter 13, you learned the basics of AI and building a machine learning ...
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