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    DETR-ResNet101-DC5

    Transformer based object detector with ResNet101 backbone (dilated C5 stage).

    DETR is a machine learning model that can detect objects (trained on COCO dataset).

    Qualcomm® QCS8550
    QCS8550 (Proxy)
    TorchScriptTFLite
    405ms
    Inference Time
    6-13MB
    Memory Usage
    911NPU
    2GPU
    Layers
    See more metrics
    Model RepositoryHugging FaceResearch Paper

    Technical Details

    Model checkpoint:ResNet101-DC5
    Input resolution:480x480
    Number of parameters:61.1M
    Model size:231 MB

    Applicable Scenarios

    • Factory Automation
    • Robotic Navigation
    • Camera

    Licenses

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

    Supported IoT Devices

    • QCS8550 (Proxy)

    Supported IoT Chipsets

    • Qualcomm® QCS8550