Detection Of Gender And Age Using Python
Keywords:
CNN, age, gender.Abstract
Age and gender play fundamental roles in
social interactions. Languages reserve different
salutations and grammar rules for men or women, and
very often different vocabularies are used when
addressing elders compared to young people. In this
paper we show that by learning representations through
the use of deep-convolutional neural networks (CNN),
a significant increase in performance can be obtained
on these tasks. To this end, we propose a simple
convolutional net architecture that can be used even
when the amount of learning data is limited. We
evaluate our method on the recent Adience benchmark
for age and gender estimation and show it to
dramatically outperform current state-of-the-art
methods.
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