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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.

Snapdragon® X Elite
0.93ms
Inference Time
1MB
Memory Usage
147NPU
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 Compute Chipsets

  • Snapdragon® X Elite