Age and Gender Prediction using Face Recognition
2021 ◽
Vol 11
(2)
◽
pp. 48-51
Keyword(s):
Automatic age and gender prediction from face images has lately attracted much attention due to its wide range of applications in numerous facial analyses. We show in this study that utilizing the Caffe Model Architecture of Deep Learning Frame Work; we were able to greatly enhance age and gender recognition by learning representations using deep-convolutional neural networks (CNN). We propose a much simpler convolutional net architecture that can be employed even if no learning data is available. In a recent study presenting a potential benchmark for age and gender estimation, we show that our strategy greatly outperforms existing state-of-the-art methods.
Keyword(s):
2018 ◽
Vol 27
(4)
◽
pp. 246-259
◽
Age and gender classification from speech and face images by jointly fine-tuned deep neural networks
2017 ◽
Vol 85
◽
pp. 76-86
◽
Keyword(s):
Keyword(s):