yeephycho/tensorflow-face-detection
A face detection model using MobileNet SSD architecture trained on WIDERFACE dataset.
Not currently ranked — collecting fresh signals.
star history
This repository provides a face detection model based on Single Shot Multibox Detector (SSD) with MobileNet backbone, implemented using TensorFlow Object Detection API. The model achieves around 60fps inference on a GTX1080 GPU and requires less than 364MB of GPU memory. It was trained on the WIDERFACE dataset to handle various face poses and includes support for parallel video processing.
Frequently asked
- What is yeephycho/tensorflow-face-detection?
- A face detection model using MobileNet SSD architecture trained on WIDERFACE dataset.
- Is tensorflow-face-detection open source?
- Yes — yeephycho/tensorflow-face-detection is open source, released under the Apache-2.0 license.
- What language is tensorflow-face-detection written in?
- yeephycho/tensorflow-face-detection is primarily written in Python.
- How popular is tensorflow-face-detection?
- yeephycho/tensorflow-face-detection has 772 stars on GitHub.
- Where can I find tensorflow-face-detection?
- yeephycho/tensorflow-face-detection is on GitHub at https://github.com/yeephycho/tensorflow-face-detection.