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4 cards from this section. Quick, good the night before a test.
What is semantic segmentation?
Think about how segmentation differs from simple classification.
Name a popular model for semantic segmentation.
Consider models specialized in handling medical images.
What is the main goal of semantic segmentation?
Think about the level of detail required in segmentation.
True or False: U-Net is primarily used for semantic segmentation in automotive applications.
Remember the type of images U-Net is best known for.
Given an image of a street scene, describe how semantic segmentation would process and analyze each aspect for an autonomous vehicle.
Consider how each part of the image influences driving decisions.
Explain the advantages and disadvantages of using U-Net versus DeepLab for a project requiring segmenting satellite images.
Think about each model's capabilities in handling images of different characteristics.
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