RetinaFace Face Detector

Introduction

RetinaFace is a practical single-stage face detector which is initially described in arXiv technical report

Data

Download our annotations (face bounding boxes & five facial landmarks) from baiducloud or dropbox
Download the WIDERFACE dataset.
Organise the dataset directory under insightface/RetinaFace/ as follows:

  data/retinaface/
    train/
      images/
      label.txt
    val/
      images/
      label.txt
    test/
      images/
      label.txt

Training

Please check train.py for training.

Testing

Please check test.py for testing.

Models

Pretrained Model: RetinaFace-R50 (baiducloud or dropbox) is a medium size model with ResNet50 backbone. It can output face bounding boxes and five facial landmarks in a single forward pass. WiderFace validation mAP: Easy 96.5, Medium 95.6, Hard 90.4.

To avoid the confliction with the WiderFace Challenge (ICCV 2019), we postpone the release time of our best model.