HomeIoT ModelsFFNet-122NS-LowRes

    FFNet-122NS-LowRes

    Semantic segmentation for automotive street scenes.

    FFNet-122NS-LowRes is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.

    Qualcomm® QCS8550
    QCS8550 (Proxy)
    9.66ms
    Inference Time
    0-4MB
    Memory Usage
    216NPU
    Layers

    Technical Details

    Model checkpoint:ffnet122NS_CCC_cityscapes_state_dict_quarts_pre_down
    Input resolution:1024x512
    Number of parameters:32.1M
    Model size:123 MB

    Applicable Scenarios

    • Automotive
    • Autonomous Driving
    • Camera

    Licenses

    Source Model:BSD-3-CLAUSE
    Deployable Model:AI Model Hub License

    Supported IoT Devices

    • QCS8550 (Proxy)

    Supported IoT Chipsets

    • Qualcomm® QCS8550