HomeIoT ModelsSegment-Anything-Model

    Segment-Anything-Model

    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.

    Qualcomm® QCS8550
    QCS8550 (Proxy)
    TorchScriptTFLite
    48.3ms
    Inference Time
    4-12MB
    Memory Usage
    340NPU
    Layers

    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

    Licenses

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

    Tags

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

    Supported IoT Devices

    • QCS8550 (Proxy)

    Supported IoT Chipsets

    • Qualcomm® QCS8550