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---
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/face_detect_front/Public_pretrainedmodel_public_dataset/wider_face/blazeface_front_128_quant_pc_ff_od_wider_face.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/face_detect_front/Public_pretrainedmodel_public_dataset/wider_face/blazeface_front_128_quant_pc_ff_od_wider_face.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/) |