PSPNet

Deep learning model for pixel‑level semantic segmentation using pyramid pooling.

PSPNet (Pyramid Scene Parsing Network) is a semantic segmentation model that captures global context information by applying pyramid pooling modules. It is designed to improve scene understanding by aggregating contextual features at multiple scales.

Technical Details

Model checkpoint:pspnet101_ade20k.pth
Input resolution:1x3x473x473
Number of parameters:65.7M
Model size (float):251 MB

Applicable Scenarios

    Licenses

    Source Model:MIT
    Deployable Model:AI-HUB-MODELS-LICENSE

    Supported IoT Devices

    • QCS8275 (Proxy)
    • QCS8550 (Proxy)
    • QCS9075 (Proxy)

    Supported IoT Chipsets

    • Qualcomm® QCS8275 (Proxy)
    • Qualcomm® QCS8550 (Proxy)
    • Qualcomm® QCS9075 (Proxy)

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