HomeIoT ModelsMediaPipe-Face-Detection

    MediaPipe-Face-Detection

    Detect faces and locate facial features in real-time video and image streams.

    Designed for sub-millisecond processing, this model predicts bounding boxes and pose skeletons (left eye, right eye, nose tip, mouth, left eye tragion, and right eye tragion) of faces in an image.

    Qualcomm® QCS8550
    QCS8550 (Proxy)
    0.78ms
    Inference Time
    0-2MB
    Memory Usage
    112NPU
    Layers

    Technical Details

    Input resolution:256x256
    Number of parameters (MediaPipeFaceDetector):135K
    Model size (MediaPipeFaceDetector):565 KB
    Number of parameters (MediaPipeFaceLandmarkDetector):603K
    Model size (MediaPipeFaceLandmarkDetector):2.34 MB

    Applicable Scenarios

    • Accessibility
    • Augmented Reality
    • Gaming

    Licenses

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

    Tags

    • real-time
      A “real-time” model can typically achieve 5-60 predictions per second. This translates to latency ranging up to 200 ms per prediction.

    Supported IoT Devices

    • QCS8550 (Proxy)

    Supported IoT Chipsets

    • Qualcomm® QCS8550