MediaPipe-Face-Detection-Quantized
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.
Technical Details
Input resolution:256x256
Number of output classes:6
Number of parameters (MediaPipeFaceDetector):135K
Model size (MediaPipeFaceDetector):255 KB
Number of parameters (MediaPipeFaceLandmarkDetector):603K
Model size (MediaPipeFaceLandmarkDetector):746 KB
Applicable Scenarios
- Accessibility
- Augmented Reality
- Gaming
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Tags
- real-time
- quantized
Supported IoT Devices
- QCS6490 (Proxy)
- QCS8250 (Proxy)
- QCS8550 (Proxy)
- RB3 Gen 2 (Proxy)
- RB5 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS6490 (Proxy)
- Qualcomm® QCS8250 (Proxy)
- Qualcomm® QCS8550 (Proxy)
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