Effective Marketing Analysis on Gender and Age Classification with Hyperparameter Tuning
Khaing Suu Htet, Myint Myint Sein · 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech) · 2020
Market intelligence to crowded event is critical in decision making to advertising campaigns and support planning. In this paper describes gender classification and age estimation based on hyperparameter tuning optimization Computer Vision and Machine Learning Approach. The images of Myanmar People are quite challenging with existing famous IMDBs dataset due to different ethnics and nations. The proposed system presented to achieve improving better analysis with using hyperparameter optimization by Deep Learning Fast-R-CNN method on three Datasets, IMDBs, Asia Image Dataset and new Myanmar Image Dataset. Specially, this system adapted fast-R-CNN with hyper parameter optimization using Nelder-Mead methods. Experiences result demonstrated that hybrid method outperformed than other method and achieved the state-of-art-accurate results on real-world Myanmar Video streaming to achieve target audience.