Gender, Makeup, Age and Illumination Prediction from Faces Using Ensemble Modeling
Kundan Nigam, Sahil Sharma, Prashant Singh Rana · 2018
Gender, makeup, age and illumination classification has become one of the major task and these tasks has become more powerful in real time applications. Still, the performance of existing method is lacking when compared in optimization. In this research paper we have been applied various machine learning models to get the results more optimized. We try to developed ensemble techniques for sturdy age classification ranges and these ranges are classified into four categories that are child, young, middle and old. Similarly Gender classification ranges are divided into male and female and Makeup classification ranges are divided into partial makeup and over makeup and also illumination classification ranges are divided into bad, medium and high categories.