Table 1 The open-source facial recognition DNNs used in the international forensic proficiency test.

From: Diverse types of expertise in facial recognition

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

MS-Celeb-1 M dataset85 fine-tuned on VGGFace284

Pytorch

DNN6

Se-ResNet5086

VGGFace284

Pytorch

DNN7

Se-ResNet5086

MS-Celeb-1 M dataset85 fine-tuned on VGGFace284

Pytorch

DNN8

ArcFace87

CASIA88, VGGFace284, MS1MV287 and DeepGlint-Face89

DeepFace90

DNN9

Facenet91

VGGFace284

DeepFace90

DNN10

Facenet51291

VGGFace284

DeepFace90