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.
Input Image | Result |
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Metric | Value |
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Rotation in-plane | ±45˚ |
Rotation out-of-plane | Yaw: ±45˚ / Pitch: ±45˚ |
Min object width | 62 pixels |
GFlops | 0.094 |
MParams | 2.138 |
Source framework | Caffe* |
Metric | Value |
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Avg. age error | 6.99 years |
Gender accuracy | 95.80% |
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