gender recognition based on the whole body

[kclch]

Can I use it for whole body based gender recognition?

[aimerykong]

Hi, if you have full body dataset, you can definitely train such models for that. It must be interesting to compare a simple feedforward model with the bilinear version.

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On Wed, Sep 5, 2018 at 7:53 PM kclch ***@***.***> wrote: Can I use it for whole body based gender recognition? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#8>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AGKZJKX8bGv7nDWITYbCzBilBTfELmbPks5uYI5EgaJpZM4WcBdX> .

[kclch]

Thank you very much for your answer, but I will try to use the pedestrian image in all directions obtained from video surveillance as a data set. There is no guarantee that the face will be detected, and it will be divided into two categories, which are directly used by the source code. Is this method feasible?

[aimerykong]

It makes sense to do gender classification over whole body especially when the face is occluded or blurry. This should require you make the correct label (female&male) to enable good training. I would guess the model could learn to do it based on clothes/color. But it's interesting to see.

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On Thu, Sep 6, 2018 at 6:20 AM kclch ***@***.***> wrote: Thank you very much for your answer, but I will try to use the pedestrian image in all directions obtained from video surveillance as a data set. There is no guarantee that the face will be detected, and it will be divided into two categories, which are directly used by the source code. Is this method feasible? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#8 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AGKZJIADV3x0goo58haV8NA31hQ1HDYSks5uYSEtgaJpZM4WcBdX> .

[MrYanMYN]

Is there any progress with creating such a network? I am currently looking for a solution and if there is an already trained alternative to self - making one from scratch that would be awesome!