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Blazeface is a lightweight, high-performance face detection model designed for mobile and embedded devices, developed by TensorFlow. It is optimized for real-time face detection tasks and runs efficiently on mobile CPUs, ensuring minimal latency and power consumption. Blazeface is based on a fast architecture and uses deep learning techniques to detect faces with high accuracy, even in challenging conditions. It supports multiple face detection in varying lighting and poses, and is designed to work in real-world applications like mobile apps, robotics, and other resource-constrained environments.
Features
- Optimized for real-time face detection on mobile and embedded devices.
- Lightweight architecture with minimal latency and power consumption.
- High accuracy in detecting faces across varying conditions.
- Supports multiple face detection in a single frame.
- Designed for real-world applications like mobile apps and robotics.
- Efficient performance on mobile CPUs with TensorFlow Lite support.
- Capable of working with low-resolution images.
- Easily integrated into TensorFlow-based systems and workflows.
- Provides fast inference time suitable for real-time applications.
License
Apache License V2.0Follow Blazeface
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