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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
+---
+
+## Lightweight-Face-Detection: Object Detection
+
+Lightweight-Face-Detection is a mobile/edge-optimized face detection model utilizing depthwise separable convolutions and multi-scale feature fusion for high-accuracy real-time detection under low resources. Built on streamlined backbones (e.g., ShuffleNetV2) with dynamic anchor adjustment, it robustly detects small, occluded, or blurred faces, achieving 50+ FPS on mobile CPUs via multi-thread processing. Quantization-aware training (INT8) reduces model size below 2MB, reaching over 90% mAP on WIDER FACE—15% higher than MTCNN with faster speed. Ideal for smart access control, mobile camera focus, and video conferencing, it balances low power consumption and high performance.
+
+### Source model
+
+- Input shape: 1x1x480x640
+- Number of parameters: 0.84M
+- Model size: 3.72M
+- Output shape: [1x1x60x80],[1x4x60x80],[1x10x60x80]
+
+The source model can be found [here](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/face_det_lite/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)