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."
SAM is a promptable AI segmentation system for zero-shot generalization to objects and images.
- Cutting out objects in images with a single click
- Tracking object masks in videos
- Enabling image editing applications
- Lifting object masks to 3D
- Creative tasks like collaging
- Text-to-object segmentation
- 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.
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