Segment Anything

Segment Anything (SAM) is a promptable segmentation system developed by Meta AI that offers zero-shot generalization to unfamiliar objects and images without requiring additional training. It allows users to \"cut out\" any object in any image with a single click. SAM uses a variety of input prompts to perform a wide range of segmentation tasks. The model was trained on millions of images and masks collected through a model-in-the-loop \"data engine.\"

Users can interact with SAM by providing prompts such as interactive points, boxes, or automatically segmenting everything in an image. The system also supports integration with other systems, such as AR/VR headsets or object detectors, to enable text-to-object segmentation. Users can try the demo on the website.