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High-quality segmentation mask generation around any object in an image with simple input prompt.

Transformer based encoder-decoder where prompts specify what to segment in an image thereby allowing segmentation without the need for additional training. The image encoder generates embeddings and the lightweight decoder operates on the embeddings for point and mask based image segmentation.

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This model is currently not supported on any Compute chipset.

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Technical Details

Model checkpoint:vit_l
Input resolution:720p (720x1280)
Number of parameters (SAMDecoder):5.11M
Model size (SAMDecoder):19.6 MB

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera


Source Model:APACHE-2.0
Deployable Model:AI Model Hub License


  • foundation
    A “foundation” model is versatile and designed for multi-task capabilities, without the need for fine-tuning.

Supported Compute Chipsets

  • Snapdragon® X Elite