COMPUTER VISION
How Machines Learn to See
Millions of pixels mean nothing without context. Computer vision gives machines the ability to understand what they’re actually seeing.
It Starts With a Grid of Numbers
Every image is just pixels. You look at a photo and see a person crossing a street. A computer sees a grid of numbers and nothing else. Computer vision is the work of turning those numbers into something a machine can actually use.
That's the whole job, really: recognize a face, spot a car, flag an obstacle. The goal is never just to look. It's to decide something based on what's there.
Seeing Is the Easy Part
Naming what's in a picture is only the start. What matters is where things are, how they relate, and how they move over time. A robot has to recognize a cup before it can pick it up. A self-driving car has to read the road before it decides to brake.
That's why I find this field so interesting. We do all of this without thinking, and teaching a machine to do it means finally understanding how much work our own eyes do.
