Study of a Machine Learning Model for Face Detection, Age Detection, and Gender Recognition
Aditya Kumar Sinha · International Journal for Research in Applied Science and Engineering Technology · 2020
Machine learning offers different models for age and gender recognition such as convolutional neural networks, feed forward neural network, and recurrent neural network.In our review we will be describing our system that takes input from the user and gives age and gender as output.User can provide input through browsing an image or through web camera.Our model is able to accept real time input through web camera.For the training and testing we are using structured data and we split data into testing and training date of the model.We are using train-test-split ratio as 3:7 i.e, 30% of the data will be used for training of the model and 70% of the data will be used for testing of the model .In this review we will be describing our algorithms and tools used and also methods for improving their accuracy.