Hybrid Gender and Age Classification Using Deep Learning
摘要
Gender and age classification is always a challenge in systems like security, content recommendations and facial investigations. The main focus of this paper is to detect gender and age from different photos which includes multiple faces. This paper proposes a hybrid framework which facilitates end-end classification of age and gender based on Convolution Neural Network. The results show that CNN-based detection achieved 78% accuracy when compared with the existing models.