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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
----
+---
+license: other
+license_name: aplux-model-farm-license
+license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
+pipeline_tag: object-detection
+tags:
+- AIoT
+- QNN
+---
+
+![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F20250321053747_%25E5%259B%25BE1%402x(4).png&w=640&q=75)
+
+## Facial-Landmark-Detection: Pose Estimation
+
+Facial-Landmark-Detection is a lightweight deep learning model for real-time facial keypoint detection (e.g., eyes, nose tip, mouth corners), optimized via multi-task learning and attention mechanisms for robustness in complex scenarios. It employs a hybrid backbone (e.g., MobileNetV3-HRNet) with dynamic coordinate regression to handle occlusion, lighting variations, and extreme poses, supporting 68/106-point high-precision localization. Through knowledge distillation, the model is compressed below 1MB parameters, achieving NRMSE <4.5% on 300W and WFLW datasets with 30+ FPS on mobile devices—10x faster than traditional Dlib. Ideal for AR virtual makeup, expression analysis, face alignment, and medical facial assessment, it balances edge deployment efficiency and sub-millimeter accuracy, with INT8 quantization for ultra-low latency.
+
+### Source model
+
+- Input shape: 1x3x128x128
+- Number of parameters: 5.17M
+- Model size: 20.95M
+- Output shape: 1x265
+
+The source model can be found [here](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/facemap_3dmm/model.py)
+
+## 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: [BSD-3-CLAUSE](https://github.com/quic/ai-hub-models/blob/main/LICENSE)
+
+- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf)