HomeMobile 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.

    0.54ms
    Inference Time
    0-27MB
    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

    Supported Mobile Form Factors

    • Phone
    • Tablet

    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 Mobile Devices

    • Google Pixel 3
    • Google Pixel 3a
    • Google Pixel 3a XL
    • Google Pixel 4
    • Google Pixel 4a
    • Google Pixel 5a 5G
    • Samsung Galaxy S21
    • Samsung Galaxy S21 Ultra
    • Samsung Galaxy S21+
    • Samsung Galaxy S22 5G
    • Samsung Galaxy S22 Ultra 5G
    • Samsung Galaxy S22+ 5G
    • Samsung Galaxy S23
    • Samsung Galaxy S23 Ultra
    • Samsung Galaxy S23+
    • Samsung Galaxy S24
    • Samsung Galaxy S24 Ultra
    • Samsung Galaxy S24+
    • Samsung Galaxy Tab S8
    • Xiaomi 12
    • Xiaomi 12 Pro

    Supported Mobile Chipsets

    • Snapdragon® 8 Gen 1 Mobile
    • Snapdragon® 8 Gen 2 Mobile
    • Snapdragon® 8 Gen 3 Mobile
    • Snapdragon® 888 Mobile