Imagine you're looking at a picture of a dog, and someone asks you to describe it. You might say 'It has four legs, a tail, and fur.' A computer does something similar when it sees an image, it breaks the picture into tiny pieces, like pixels, and looks for patterns in them. These patterns help the computer understand what it's seeing, like whether it’s a dog or a cat.
Examples
- A computer looks at a picture of your dog and sees it as a collection of colors.
- It breaks down the image into tiny dots called pixels and finds patterns like edges and shapes.
- When you point your phone camera at text, it reads the letters by analyzing light patterns.
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See also
- How Can a Computer Be Smarter Than You?
- What are neural networks?
- What is supervised?
- What are machine learning algorithms?
- How Does Machine Learning Explained in 100 Seconds Work?