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README.md

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-license: other
-license_name: aplux-model-farm-license
-license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
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+---
+license: other
+license_name: aplux-model-farm-license
+license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
+---
+
+![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F20250321053720_%25E5%259B%25BE1%402x(3).png&w=640&q=75)
+
+## MediaPipe-Face-Detection：Facial Recognition
+
+MediaPipe Face Detection is an ultrafast face detection solution that comes with 6 landmarks and multi-face support. It is based on BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference. The detector's super-realtime performance enables it to be applied to any live viewfinder experience that requires an accurate facial region of interest as an input for other task-specific models, such as 3D facial keypoint estimation (e.g., MediaPipe Face Mesh), facial features or expression classification, and face region segmentation. 
+
+### Source model
+
+- Input shape: 256x256
+- Number of parameters:0.13M, 0.6M
+- Model size:0.58MB, 2.32MB
+- Output shape: [1x896x16, 1x896x1], [1, 1x486x3]
+
+Source model repository: [MediaPipe-Face-Detection](https://github.com/zmurez/MediaPipePyTorch/)
+
+## Performance Reference
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## Inference & Model Conversion
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## License
+
+- Source Model: [APACHE-2.0](https://github.com/zmurez/MediaPipePyTorch/blob/master/LICENSE)
+
+- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf)