Machine Learning · Lesson 12
Computer Vision (CV): From Pixels to Business Decisions
Explore how computer vision models represent images, preprocess pixels, classify images, detect objects, use CNNs, and support a practical product-inspection challenge.
What Is Computer Vision?
Help machines extract useful information from images and video.
Computer Vision (CV) is an AI field that develops systems to analyze visual data. Tasks include image classification, object detection, segmentation, optical character recognition, and visual inspection. A model produces predictions from patterns learned in data; it does not automatically understand a scene as a person does.
Why it matters in business
A manufacturer can use camera images to flag possible defects for inspection. The system should be tested under real lighting, camera angles, product variations, and failure conditions.
Explore computer-vision tasks
Select a task and see the input and expected output.
Input
One image
Output
Class label(s)
Assign a label to the whole image.
Activity: Choose the task
A warehouse wants to assign one main label to each photo: box, bottle, or shoe. Which computer-vision task best fits?
Related MCQ: CV basics
Which statement best describes computer vision?
Your next step
Complete both the activity and related MCQ correctly to unlock the next concept.