1.1.3 - Image Segmentation
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What is image segmentation?
💡 Hint: Think about how we can separate different parts of an image.
What is semantic segmentation?
💡 Hint: Consider examples where you don't need to differentiate between the same type of objects.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does image segmentation do?
💡 Hint: Consider the overall purpose of separating different parts of an image.
True or False: Instance segmentation distinguishes between individual objects of the same class.
💡 Hint: Think about how you would identify multiple items of the same type.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.