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Gender Recognition on UTKFace

93.79AccuracyMobileNet-v1
84.32686.78389.2491.697Mar 31, 2021

Evaluation results

MethodLinks
MobileNet-v1Param count, MB=3.22021.0393.79
MobileNet v2 (Agegendernet)Param count, MB=7.12021.0391.47
VGG-16 (DEX)Param count, MB=262.52021.0391.05
FaceNetParam count, MB=12.32021.0389.54
ResNet-50 (Insight Face)Param count, MB=60.12021.0387.52
gender_netParam count, MB=11.22021.0387.32
New model from Insight FaceParam count, MB=0.32021.0384.69