Semantic segmentation is a computer vision task that involves classifying each pixel in an image with a semantic label, effectively grouping pixels belonging to the same object or class. It's commonly used in autonomous driving to identify lanes, pedestrians, and other vehicles; in medical image analysis to segment organs or tumors; and in satellite imagery analysis to classify land cover types.
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