DeepEthnic: Multi-Label Ethnic Classification from Face Images

12/06/2019

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by   Katia Huri, et al.

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18

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Ethnic group classification is a well-researched problem, which has been pursued mainly during the past two decades via traditional approaches of image processing and machine learning. In this paper, we propose a method of classifying an image face into an ethnic group by applying transfer learning from a previously trained classification network for large-scale data recognition. Our proposed method yields state-of-the-art success rates of 99.02 African, Asian, Caucasian, and Indian.