{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dager-deep-age-gender-and-emotion-recognition","title":"DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network","arxiv_id":"1702.04280","date":"2017-02-14","proceeding":null,"authors":["Afshin Dehghan","Enrique. G. Ortiz","Guang Shu","Syed Zain Masood"],"abstract":"This paper describes the details of Sighthound's fully automated age, gender\nand emotion recognition system. The backbone of our system consists of several\ndeep convolutional neural networks that are not only computationally\ninexpensive, but also provide state-of-the-art results on several competitive\nbenchmarks. To power our novel deep networks, we collected large labeled\ndatasets through a semi-supervised pipeline to reduce the annotation\neffort/time. We tested our system on several public benchmarks and report\noutstanding results. Our age, gender and emotion recognition models are\navailable to developers through the Sighthound Cloud API at\nhttps://www.sighthound.com/products/cloud","url_abs":"http://arxiv.org/abs/1702.04280v2","url_pdf":"http://arxiv.org/pdf/1702.04280v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"dager-deep-age-gender-and-emotion-recognition","repo_url":"https://github.com/CVxTz/face_age_gender","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"dager-deep-age-gender-and-emotion-recognition","repo_url":"https://github.com/VamsiKrishna1211/gender_age-detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"emotion-recognition","task_name":"Emotion Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}