uptodiff / age_gender_classifier

EDA and training procedure for multitask age and gender classification

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age_gender_classifier

EDA and training procedure for multitask age and gender classification

I used OUI-Adience dataset and trained Resnet50 and MobilenetV3 models

Final accuracy: gender 96.94%, age 78.79% (resnet50), gender acc 96.12%, age acc 82.12% (mobilenet_v3)

MobilenetV3 implementation has taken from pytorch-image-models

Pretrained models:

  • resnet50: to-be-published
  • mobilenetv3: link

Model expects 224x224 image and outputs age_logits (bs x 8), gender_logits (bs x 3) age logits - probability of image for each of 8 groups: 0-2, 3-6, 8-13, 15-20, 22-32, 34-43, 45-53, 55-100

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EDA and training procedure for multitask age and gender classification


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