AGE AND GENDER PREDICTION USING MACHINE LEARNING
DOI:
https://doi.org/10.59367/0g0kpv68Keywords:
Age, Gender, Detection, Features, Extraction, Data Visualization, Classify, CNN, proposed framework, Training dataAbstract
Because of its wide range of applications in a variety of facial investigations, automatic age and gender prediction from face photos has recently gained a lot of attention. 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 deepconvolutional 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.
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