Segment Anything

Segment Anything | Advanced AI Object Segmentation

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Segment Anything

Content with this 'UNVERIFIED CONTENT' seal has been generated by AI in a summarized form, without alteration by the Hunts AI team or the platform. Meanwhile, 'verified' content has been meticulously created by the Hunts AI team or the platform.
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Updated At: 07/29/2023

Segment Anything uses Meta AI's AI Computer Vision Research model (SAM) to effortlessly segment any object in an image with a single click.
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Features 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.

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