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Synaptics/sr100_person_detection_256x480
sr100_person_detection_256x480 is a object detection model from Synaptics. Use it when you need objects located in an image. It is set up for tflite. The card lists the license as apache-2.0.
The Person Detection 256x480 model developed by Synaptics, is a lightweight quantized tflite model developed for the SR100 processor in the Synaptics Astra™ SR MCU Series.
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From the Hugging Face model README
The Person Detection 256x480 model developed by Synaptics, is a lightweight quantized tflite model developed for the SR100 processor in the Synaptics Astra™ SR MCU Series.
The output includes the precise location of each person in the image along with a confidence value, enabling reliable person detection even on resource-constrained devices. The model is optimized to fit in Flash and is designed to fit in SRAM as well.
You can optimize this model for Synaptics Astra SR100 MCU using our our hosted SR100 Model Compiler HF Space.
Designed for real-time person detection on embedded, resource-constrained edge devices. Example applications include:
You can evaluate and test this model directly in our hosted Hugging Face Space, optimized for Synaptics SR110 MCU. This space provides a seamless sandbox for model evaluation using hardware-specific quantization and runtime settings.
For a detailed walkthrough on how to optimize and evaluate a model, please see our Evaluate Model Guide page.
To get started quickly with Astra SR Series, visit our SR Quick Start page.
Distributed under the Apache License 2.0, allowing flexible use, modification, and distribution.