DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network
February 14, 2017 Β· Declared Dead Β· π 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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