Abstract :Age and gender information is one of the important parameters used in marketing and advertising. Determining the age and gender of the individual is important in terms of correct advertising and orientation. Many methods that form the basis of age and gender determination have less performance and accuracy than deep learning-based approaches. Recently, the use of deep learning-based methods has achieved more successful results in terms of accuracy and performance in determining gender and age compared to the old methods. In this study, age and gender determination is made to be used in the field of advertising and marketing with deep learning-based techniques. Thus, age and gender information, which are important parameters in advertising and marketing activities, are determined by a deep learning-based method, and it is aimed to present advertisements appropriate to the target customer group suitable for age and gender. In the study, firstly, face detection is performed from images. Then, gender and age determination was made from the faces identified using the supervised learning method. UTKFace dataset was used for model training. The UTKFace dataset consists of 23000 images of different ethnic origins and different age and sexes. It provides an application for advertisement suggestions suitable for the target audience by determining gender and age in areas where real-time camera images can be obtained, such as shopping malls, car parking stations, sports halls, in real time. Keywords : Deep Learning, Advertising, Age Detection, Gender Detection, CNN
