Fully convolutional network for simultaneous Age/Gender recognition. The network is able to recognize age of people in [18, 75] years old range, it is not applicable for children since their faces were not in the training set.
~20,000 unique subjects representing diverse ages, genders, and ethnicities.
|Rotation out-of-plane||Yaw: ±45˚ / Pitch: ±45˚|
|Min object width||62 pixels|
|Avg. age error||6.99 years|
1, 3, 62, 62 in
1, C, H, W format, where:
C- number of channels
H- image height
W- image width
Expected color order is
1, 1, 1, 1- Estimated age divided by 100.
1, 2, 1, 1- Softmax output across 2 type classes [0 - female, 1 - male].
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