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    EfficientNet-B0

    Imagenet classifier and general purpose backbone.

    EfficientNetB0 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.

    Qualcomm® QCS8550
    QCS8550 (Proxy)
    1.64ms
    Inference Time
    0-2MB
    Memory Usage
    245NPU
    Layers
    See more metrics
    Model RepositoryHugging FaceResearch Paper

    Technical Details

    Model checkpoint:Imagenet
    Input resolution:224x224
    Number of parameters:5.27M
    Model size:20.2 MB

    Applicable Scenarios

    • Medical Imaging
    • Anomaly Detection
    • Inventory Management

    Licenses

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

    Tags

    • backbone
      A “backbone” model is designed to extract task-agnostic representations from specific data modalities (e.g., images, text, speech). This representation can then be fine-tuned for specialized tasks.

    Supported IoT Devices

    • QCS8550 (Proxy)

    Supported IoT Chipsets

    • Qualcomm® QCS8550