The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Segment Anything provides code and pre-trained models for the Segment Anything Model (SAM), which generates high-quality object masks from input prompts like points or boxes. It's designed for developers and researchers who need advanced image segmentation capabilities, with zero-shot performance across various tasks and support for both interactive prompting and automatic mask generation.
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