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TeacherColab · Free Student Worksheet
What Is Computer Vision?
Student Name
Date
Learning Objective
Discover how AI sees the world — how pixels become features, how image classification works, and how computers recognise objects, faces, and scenes.
Section 1 — What do you already know?
Before we begin, write down anything you already know about: Computer Vision
Section 2 — Key Concepts
1. What is computer vision?
Answer:
Computer vision is a field of AI that enables computers to interpret and understand visual information from images and videos — just as humans use their eyes and brain to see and recognise objects.
2. How does a computer 'see' an image?
Answer:
A computer stores an image as a grid of tiny squares called pixels. Each pixel has a numerical value representing its colour and brightness. AI models analyse these numbers to find patterns that identify objects, faces, or scenes.
3. What is image classification?
Answer:
Image classification is the task of looking at an image and assigning it to a category — for example, deciding whether a photo shows a cat, a dog, or a car. It is one of the most common tasks in computer vision.
Section 3 — Check Your Understanding
Answer the following questions in your own words.
1. Explain how computers represent images using pixels
2. Describe how AI classifies images using features
3. Understand the basic structure of a convolutional neural network (CNN)
4. Give three real-world applications of computer vision
Section 4 — Fill in the Blanks
Complete the sentences using the concepts you have learned.
1. Computer Vision helps computers _________________ patterns from _________________.
2. The main difference between AI and a normal program is that AI _________________ from data rather than following fixed _________________.
3. One real-world example of Computer Vision is _________________, which uses it to _________________.
4. The inputs used by an AI model are called _________________ and the output it predicts is called a _________________.
Section 5 — Scenario Thinking
🤔 Think about this:
A healthcare organisation wants to use Computer Vision to assist doctors in diagnosing patients earlier. What data would the AI need? What challenges could arise? How can the team ensure the AI is fair, safe, and accurate?
Section 6 — What Did I Learn?
✅ Three key ideas I now understand:
❓ One question I still have:
⭐ Challenge Task
If you were designing an AI solution using Computer Vision, what problem would you solve? Outline a 3-step plan: (1) Problem statement, (2) Data to collect, (3) How to verify accuracy.