Introduction to Computer Vision
SAT Score Range
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1 session
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EH
About
This course introduces the basics of computer vision, including how images are represented, color spaces, edge and feature detection, and simple object recognition. Learners will build small projects such as color-based object detectors, edge-detection visualizers, and simple vision pipelines that process real images step by step. By the end of the course, learners will be able to create a mini end-to-end vision system, similar to what’s used in self-driving cars and big-tech AI products, that takes in camera input and makes real decisions from images.
Tutored by
✋ ATTENDANCE POLICY
Learners are expected to attend sessions regularly and arrive on time, as each session builds on the previous one. If you know you’ll miss a session, please communicate ahead of time through Schoolhouse; repeated unexplained absences or lack of participation may result in removal from the series so spots can be opened for committed learners.
SESSION 1
25
Dec
SESSION 1
Artificial Intelligence
Artificial Intelligence
Thu 3:30 AM - 4:30 AM UTCDec 25, 3:30 AM - 4:30 AM UTC
In the first 60-minute session, we’ll introduce what computer vision is and how it’s used in real-world systems like robotics and self-driving cars. We’ll break down how computers see images as pixels and colors, then walk through a simple vision pipeline such as detecting an object based on color. The session will include a short interactive demo and end with a preview of more advanced detection techniques coming next.