mirror of
https://github.com/deepinsight/insightface.git
synced 2026-05-18 14:55:42 +00:00
RetinaFace Face Detector
Introduction
RetinaFace is a robust single stage face detector which initially described as an arXiv technical report
Training
- Download groundtruth labels from baiducloud or dropbox and organise the dataset directory under
insightface/RetinaFace/as follows(images can be downloaded from WiderFace website directly):
data/retinaface/
train/
images/
label.txt
val/
images/
label.txt
test/
images/
label.txt
Testing
Please check test.py for model usage.
Pretrained Model: RetinaFace-R50 is a medium size model with ResNet50 backbone. WiderFace validation mAP: Easy 96.5, Medium 95.6, Hard 90.4. It can output face bounding boxes and five landmarks in a single forward pass.