| --- |
| license: other |
| license_link: >- |
| https://github.st.com/AIS/stm32ai-modelzoo/raw/master/object_detection/LICENSE.md |
| pipeline_tag: object-detection |
| --- |
| |
| # BlazeFace Front 128x128 Quantized |
|
|
| ## **Use case** : `Object detection` |
|
|
| # Model description |
|
|
| BlazeFace Front 128x128 is a lightweight and efficient face detection model optimized for real-time applications on embedded devices. It is a variant of the BlazeFace architecture, designed specifically for detecting frontal faces at a resolution of 128x128 pixels. The model is quantized to int8 format using TensorFlow Lite converter to reduce memory footprint and improve inference speed on resource-constrained hardware. |
|
|
| BlazeFace is known for its fast inference and accuracy, making it suitable for applications such as face tracking, augmented reality, and user authentication. |
|
|
| ## Network information |
|
|
| | Network information | Value | |
| |------------------------|-----------------| |
| | Framework | TensorFlow Lite | |
| | Quantization | int8 | |
| | Input resolution | 128x128 | |
| | Provenance | https://github.com/PINTO0309/PINTO_model_zoo/tree/main/030_BlazeFace | |
| |
| ## Network inputs / outputs |
| |
| | Input Shape | Description | |
| |-------------|-------------| |
| | (1, 128, 128, 3) | Single 128x128 RGB image with FLOAT32 values between -1 and 1 | |
| |
| | Output Shape | Description | |
| |--------------|-------------| |
| | (1, 512, 16) | FLOAT32 tensor containing bounding box coordinates and keypointss for detected faces | |
| | (1, 512, 1) | FLOAT32 tensor containing confidence scores for detected faces | |
| | (1, 384, 16) | FLOAT32 tensor containing bounding box coordinates and keypointss for detected faces | |
| | (1, 384, 1) | FLOAT32 tensor containing confidence scores for detected faces | |
| |
| ## Recommended Platforms |
| |
| | Platform | Supported | Recommended | |
| |----------|-----------|-------------| |
| | STM32L0 | [] | [] | |
| | STM32L4 | [] | [] | |
| | STM32U5 | [] | [] | |
| | STM32H7 | [] | [] | |
| | STM32MP1 | [] | [] | |
| | STM32MP2 | [] | [] | |
| | STM32N6 | [x] | [x] | |
| |
| ## Performances |
| |
| ### Metrics |
| |
| Performance metrics are measured using default STM32Cube.AI configurations with input/output allocated buffers. |
| |
| | Model | Dataset | Format | Resolution | Series | Internal RAM (KB) | External RAM (KB) | Weights Flash (KB) | STM32Cube.AI version | STEdgeAI Core version | |
| |----------------------|---------------|--------|------------|---------|-------------------|-------------------|--------------------|----------------------|-----------------------| |
| | [BlazeFace Front 128x128 per channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/facedetect_front/Public_pretrainedmodel_public_dataset/widerface/blazeface_front_128_quant_pc_ff_od_widerface.tflite) | WIDER FACE (frontal) | Int8 | 128x128x3 | STM32N6 | 528 | 0 | 150.97 | 10.2.0 | 2.2.0 | |
| |
| ### Reference **NPU** inference time (example) |
| |
| | Model | Dataset | Format | Resolution | Board | Execution Engine | Inference time (ms) | Inf / sec | STM32Cube.AI version | STEdgeAI Core version | |
| |----------------------|---------------|--------|------------|----------------|------------------|---------------------|-----------|----------------------|-----------------------| |
| | [BlazeFace Front 128x128 per channel](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/object_detection/facedetect_front/Public_pretrainedmodel_public_dataset/widerface/blazeface_front_128_quant_pc_ff_od_widerface.tflite) | WIDER FACE (frontal) | Int8 | 128x128x3 | STM32N6570-DK | NPU/MCU | 5.09 | 196.3 | 10.2.0 | 2.2.0 | |
| |
| |
| ## Integration and support |
| |
| For integration examples and additional services, please refer to the STM32 AI model zoo services repository: |
| [https://github.com/STMicroelectronics/stm32ai-modelzoo-services](https://github.com/STMicroelectronics/stm32ai-modelzoo-services) |
| |
| |
| ## References |
| |
| - BlazeFace paper: [https://arxiv.org/abs/1907.05047](https://arxiv.org/abs/1907.05047) |
| - MediaPipe BlazeFace model repository: [https://github.com/PINTO0309/PINTO_model_zoo/tree/main/030_BlazeFace](https://github.com/PINTO0309/PINTO_model_zoo/tree/main/030_BlazeFace) |
| - WIDER FACE dataset: [http://shuoyang1213.me/WIDERFACE/](http://shuoyang1213.me/WIDERFACE/) |
| |
