An Enhanced Approach for Detecting Human Age and Gender Using CNN (Convolutional Neural Network) Classifier
Sai Snehith Rachamalla · International Journal for Research in Applied Science and Engineering Technology · 2022
CONCLUSIONIn this Python Mini project, we learned how to determine a person's gender and age via a convulsive neural network (CNN), which receives 99.98% (women) and 99.84% (men) according to our facial databases.CNN's algorithm affects weight based on efficiency, classification speed, and processing speed.To construct a full gender and age recognition system, the study may be extended to address recognition and task alignment utilising CNN-like structures.This approach is appropriate for real-time processing in contexts with restricted resources that require sophisticated hardware processing.With few resources, we were able to acquire the findings of our technique utilising data sets that were extremely straightforward to prepare and had a 98 percent accuracy.