Face detection model zoo
A collection of face detection models pre-trained on the Widerface dataset.
In the table below you can see each model detailed information including:
tar.gz
file containing the model and configuration filesArchitecture | Speed (ms) | [email protected] | Cfg/Weights | Demo |
---|---|---|---|---|
R-FCN resnet101 | 92 | 94.73 | link | colab |
Faster R-CNN inception resnet v2 atrous | 620 | 94.39 | link | colab |
SSD mobilenet v1 | 30 | 91.20 | link | colab |
YOLOv2 | 15 | 89.59 | link | colab |
TinyYolo | 5 | 85.5 | link | colab |
Morghulis was used to download and convert it to either Darknet or Tensorflow Object Detection API format.
The remaining models were trained with Tensorflow Object Detection API on Google Cloud ML Engine.
There are 2 models trained with Darknet: one based on YOLOv2 and other on Tiny YOLO. Both used convolutional weights that are pre-trained on Imagenet: darknet19_448.conv.23.