The Segment Anything Model (SAM) is a foundational image segmentation model developed by Meta AI. It is designed to perform well on a wide variety of segmentation tasks, even those it hasn't encountered during training. SAM can generate high-quality object masks from prompts such as points or boxes, and it can also identify all objects in an image. Its key innovation is a promptable segmentation task, which allows it to adapt to different segmentation needs with zero-shot generalization.
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