{"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/modanet-a-large-scale-street-fashion-dataset","title":"ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations","arxiv_id":"1807.01394","date":"2018-07-03","proceeding":null,"authors":["Shuai Zheng","Fan Yang","M. Hadi Kiapour","Robinson Piramuthu"],"abstract":"Understanding clothes from a single image has strong commercial and cultural\nimpacts on modern societies. However, this task remains a challenging computer\nvision problem due to wide variations in the appearance, style, brand and\nlayering of clothing items. We present a new database called ModaNet, a\nlarge-scale collection of images based on Paperdoll dataset. Our dataset\nprovides 55,176 street images, fully annotated with polygons on top of the 1\nmillion weakly annotated street images in Paperdoll. ModaNet aims to provide a\ntechnical benchmark to fairly evaluate the progress of applying the latest\ncomputer vision techniques that rely on large data for fashion understanding.\nThe rich annotation of the dataset allows to measure the performance of\nstate-of-the-art algorithms for object detection, semantic segmentation and\npolygon prediction on street fashion images in detail. The polygon-based\nannotation dataset has been released https://github.com/eBay/modanet, we also\nhost the leaderboard at EvalAI:\nhttps://evalai.cloudcv.org/featured-challenges/136/overview.","url_abs":"http://arxiv.org/abs/1807.01394v4","url_pdf":"http://arxiv.org/pdf/1807.01394v4.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":"modanet-a-large-scale-street-fashion-dataset","repo_url":"https://github.com/eBay/modanet","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"modanet-a-large-scale-street-fashion-dataset","repo_url":"https://github.com/AemikaChow/DATASOURCE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"fashion-understanding","task_name":"Fashion Understanding"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[{"slug":"modanet","name":"ModaNet","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1807.01394","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}