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4 cards from this section. Quick, good the night before a test.
What is image segmentation?
Think about how we can separate different parts of an image.
What is semantic segmentation?
Consider examples where you don't need to differentiate between the same type of objects.
What does image segmentation do?
Consider the overall purpose of separating different parts of an image.
True or False: Instance segmentation distinguishes between individual objects of the same class.
Think about how you would identify multiple items of the same type.
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?
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.
Think about how these models serve different, yet complementary, needs in a real-world scenario.
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