{"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/streetstyle-exploring-world-wide-clothing","title":"StreetStyle: Exploring world-wide clothing styles from millions of photos","arxiv_id":"1706.01869","date":"2017-06-06","proceeding":null,"authors":["Kevin Matzen","Kavita Bala","Noah Snavely"],"abstract":"Each day billions of photographs are uploaded to photo-sharing services and\nsocial media platforms. These images are packed with information about how\npeople live around the world. In this paper we exploit this rich trove of data\nto understand fashion and style trends worldwide. We present a framework for\nvisual discovery at scale, analyzing clothing and fashion across millions of\nimages of people around the world and spanning several years. We introduce a\nlarge-scale dataset of photos of people annotated with clothing attributes, and\nuse this dataset to train attribute classifiers via deep learning. We also\npresent a method for discovering visually consistent style clusters that\ncapture useful visual correlations in this massive dataset. Using these tools,\nwe analyze millions of photos to derive visual insight, producing a\nfirst-of-its-kind analysis of global and per-city fashion choices and\nspatio-temporal trends.","url_abs":"http://arxiv.org/abs/1706.01869v1","url_pdf":"http://arxiv.org/pdf/1706.01869v1.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":"streetstyle-exploring-world-wide-clothing","repo_url":"https://github.com/AemikaChow/DATASOURCE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"streetstyle-exploring-world-wide-clothing","repo_url":"https://github.com/vihardesu/clothing-choice","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"}],"methods":[],"datasets_introduced":[{"slug":"streetstyle","name":"StreetStyle","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1706.01869","atlas_url":"https://app.syntology.ai/?focus=1706.01869","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}