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--- |
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license: other |
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license_name: aplux-model-farm-license |
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license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf |
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pipeline_tag: object-detection |
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tags: |
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- AIoT |
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- QNN |
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--- |
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.png&w=640&q=75) |
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## Lightweight-Face-Detection: Object Detection |
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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. |
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### Source model |
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- Input shape: 1x1x480x640 |
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- Number of parameters: 0.84M |
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- Model size: 3.72M |
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- Output shape: [1x1x60x80],[1x4x60x80],[1x10x60x80] |
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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) |
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## Performance Reference |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## Inference & Model Conversion |
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Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models) |
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## License |
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- Source Model: [BSD-3-CLAUSE](https://github.com/quic/ai-hub-models/blob/main/LICENSE) |
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- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf) |
