Practice Image Segmentation (4) - Computer Vision and Image Intelligence

Practice: Image Segmentation

Lesson 4Computer Vision and Image Intelligence

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is image segmentation?
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Think about how you'd divide an image into meaningful parts.
Question 2.
Name the two types of image segmentation?
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What do you call the categorization of pixels and distinguishing individuals?
3Question 3.
What is the primary goal of image segmentation?
- To convert images to grayscale
- Classifying each pixel into categories
- Extracting edges from images
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Think about what segmentation does to each part of an image.
4Question 4.
True or False: Instance segmentation can identify different objects of the same class.
- True
- False
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Consider how we label similar objects in an image differently.
Question 5.
Design an image segmentation pipeline for a self-driving car. Specify the models to use for different tasks, and explain why.
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Consider the scope of what the self-driving system needs to recognize.
Question 6.
Critique a given segmentation result. How would you determine its accuracy?
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Think about how to quantify segmentation performance effectively.

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