Update README.md

README.md

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-license: apache-2.0
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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/)