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|
input, shape: [1x3x62x62] - An input image in [1xCxHxW] format. Expected color order is BGR.
age_conv3, shape: [1, 1, 1, 1] - Estimated age divided by 100.
prob, shape: [1, 2, 1, 1] - Softmax output across 2 type classes [female, male].
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