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Review: Single attribute and multi attribute facial gender and age estimation

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Abstract

Facial age and gender recognition have vital applications as consumer profile prediction, social media advertisement, human-computer interaction, image retrieval system, demographic profiling, customized advertisement systems, security and surveillance. This paper presents a study on Single Attribute (Attribute: either Gender or Age) and Multi-Attribute (both Gender and Age) prediction model. We present a review for facial age estimation and gender classification methods based on conventional as well as deep learning approaches developed so far with analysis of their pros, cons and insights for future research. Moreover, this study also enlists the databases used for benchmarking results with their properties for both constrained and unconstrained environment.

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  1. Department of Computer Science & Engineering, Malaviya National Institute of Technology, Jaipur, 302017, Rajasthan, India

    Sandeep Kumar Gupta & Neeta Nain

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Gupta, S.K., Nain, N. Review: Single attribute and multi attribute facial gender and age estimation. Multimed Tools Appl 82, 1289–1311 (2023). https://doi.org/10.1007/s11042-022-12678-6

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