Visit SiteFeatures Segment Anything
Promptable Segmentation System
SAM can cut out any object from any image, which aids in tasks requiring image modifications without extra training.
Interactive Point and Box Prompts
Interactive prompts allow SAM to create segmented images, allowing users to control specific image segmentation efficiently.
Integration with other Systems
SAM's design allows integration with other systems. For instance, it may take input prompts from an AR/VR system enhancing multitask capabilities.
Zero-shot Generalization
SAM can identify unfamiliar objects and images without additional training, which saves time and resource for users.
Advanced Training Model
SAM's data engine allows it to interactively annotate images and update the model, enhancing its performance and accuracy.
Efficient Model Design
SAM's decoupled model design ensures it runs efficiently, providing fast image segmentation results for users.
Supports Various Platforms
SAM uses PyTorch and can run efficient inference on CPU or GPU across a variety of platforms.
Open-Sourced
SAM's code is readily available on GitHub, promoting transparency and inviting contributions to improve it.