Table 1 The open-source facial recognition DNNs used in the international forensic proficiency test.
Name | Model | Training | Python library |
---|---|---|---|
DNN1 | VGG1680 | VGGFace80 | Keras |
DNN2 | ResNet3481 | VGGFace80; Face Scrub dataset82 and images from the internet83 | Pytorch |
DNN3 | ResNet5081 | VGGFace284 | Keras |
DNN4 | ResNet5081 | VGGFace284 | Pytorch |
DNN5 | ResNet5081 | Pytorch | |
DNN6 | Se-ResNet5086 | VGGFace284 | Pytorch |
DNN7 | Se-ResNet5086 | Pytorch | |
DNN8 | ArcFace87 | DeepFace90 | |
DNN9 | Facenet91 | VGGFace284 | DeepFace90 |
DNN10 | Facenet51291 | VGGFace284 | DeepFace90 |