Mis vahe on semantilisel, näidetel ja panoptikalisel segmentatsioonil?
sobes.tech AI
Vastus AI-lt
The differences between semantic, instance, and panoptic segmentation are related to the level of detail and the type of information they provide:
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Semantic segmentation — classifies each pixel of the image by class (e.g., "road", "sky", "car"), but does not distinguish individual objects of the same class. All objects of one class are grouped.
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Instance segmentation — in addition to classifying pixels, it highlights individual instances of objects. For example, if there are three cars in the image, each will be highlighted separately.
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Panoptic segmentation — combines semantic and instance segmentation, providing a complete division of the image into objects with classification and differentiation of individual instances, as well as segmenting the background and ambiguous areas.
Thus, panoptic segmentation provides the most complete information about the content of the image.