<ul><li>Image Segmentation divides an image into logical groups of pixels based on criteria like color, texture, or intensity.</li><li>Semantic Segmentation assigns a class label to every pixel, such as person, grass, tree, or sky.</li><li>Instance Segmentation identifies individual objects within classes, focusing on countable objects like cars or animals.</li><li>Panoptic Segmentation merges semantic and instance segmentation, labeling every pixel with a class and assigning unique IDs to individual instances.</li></ul>

Decoding Image Segmentation: From Basic Pixels to Panoptic Perfection

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