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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
pipeline_tag: object-detection
tags:
- AIoT
- QNN
---
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## 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)
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