Image Segmentation

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Image segmentation is a computer vision task that divides an image into meaningful pixel groups. Instead of just placing boxes around objects, segmentation identifies exactly which pixels belong to each region or object. This can mean labeling every pixel with a class (semantic segmentation) or separating individual objects even when they overlap (instance segmentation).

Segmentation is used in areas such as diagnosing tumors in medical scans, editing photos, and analyzing crops or defects in manufacturing. Models often use convolutional or transformer-based architectures that blend local and global information to make accurate predictions. Image segmentation often complements object detection by providing a more detailed view of what is in an image and exactly where each part appears.

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