Segment Anything (SAM) is a promptable image segmentation system developed by Meta AI that can identify and isolate any object in any image — without requiring additional training on new objects or scenarios. Using a variety of input prompts, SAM delivers zero-shot generalization, meaning it works on unfamiliar images and objects right out of the box. Trained on millions of images and masks through an innovative model-in-the-loop data engine, SAM sets a new standard for segmentation flexibility and accuracy. Whether you're building computer vision applications, conducting research, or just need to quickly cut out elements from images, SAM provides a powerful, general-purpose foundation.
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