Computer Vision

Lesson goals

• Image classification
• Detection and segmentation
• Lighting and context challenges

Core idea

Turning images and video into usable information.

1. Image classification: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Detection and segmentation: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Lighting and context challenges: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “Computer Vision.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “Computer Vision” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?