DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network

February 14, 2017 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Afshin Dehghan, Enrique G. Ortiz, Guang Shu, Syed Zain Masood arXiv ID 1702.04280 Category cs.CV: Computer Vision Cross-listed cs.AI Citations 103 Venue arXiv.org Last Checked 4 months ago
Abstract
This paper describes the details of Sighthound's fully automated age, gender and emotion recognition system. The backbone of our system consists of several deep convolutional neural networks that are not only computationally inexpensive, but also provide state-of-the-art results on several competitive benchmarks. To power our novel deep networks, we collected large labeled datasets through a semi-supervised pipeline to reduce the annotation effort/time. We tested our system on several public benchmarks and report outstanding results. Our age, gender and emotion recognition models are available to developers through the Sighthound Cloud API at https://www.sighthound.com/products/cloud
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