README.md

---
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: keypoint-detection
tags:
- AIoT
- QNN
---

![](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)