Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is image segmentation?
💡 Hint: Think about how we can separate different parts of an image.
Question 2
Easy
What is semantic segmentation?
💡 Hint: Consider examples where you don't need to differentiate between the same type of objects.
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Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does image segmentation do?
- Group pixels of the same color
- Divide an image into segments
- Enhance image quality
💡 Hint: Consider the overall purpose of separating different parts of an image.
Question 2
True or False: Instance segmentation distinguishes between individual objects of the same class.
- True
- False
💡 Hint: Think about how you would identify multiple items of the same type.
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Challenge Problems
Push your limits with challenges.
Question 1
Given a set of images containing multiple instances of cars and pedestrians, explain how you would apply semantic and instance segmentation to those images. Which model would you choose and why?
💡 Hint: Consider the specifics of how you would need to approach the classification and identification.
Question 2
Design a practical application that benefits from using both U-Net and DeepLab. Describe what the application is and how the models would be integrated.
💡 Hint: Think about how these models serve different, yet complementary, needs in a real-world scenario.
Challenge and get performance evaluation