{"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/total-text-a-comprehensive-dataset-for-scene","title":"Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition","arxiv_id":"1710.10400","date":"2017-10-28","proceeding":null,"authors":["Chee Kheng Chng","Chee Seng Chan"],"abstract":"Text in curve orientation, despite being one of the common text orientations\nin real world environment, has close to zero existence in well received scene\ntext datasets such as ICDAR2013 and MSRA-TD500. The main motivation of\nTotal-Text is to fill this gap and facilitate a new research direction for the\nscene text community. On top of the conventional horizontal and multi-oriented\ntexts, it features curved-oriented text. Total-Text is highly diversified in\norientations, more than half of its images have a combination of more than two\norientations. Recently, a new breed of solutions that casted text detection as\na segmentation problem has demonstrated their effectiveness against\nmulti-oriented text. In order to evaluate its robustness against curved text,\nwe fine-tuned DeconvNet and benchmark it on Total-Text. Total-Text with its\nannotation is available at https://github.com/cs-chan/Total-Text-Dataset","url_abs":"http://arxiv.org/abs/1710.10400v1","url_pdf":"http://arxiv.org/pdf/1710.10400v1.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":"total-text-a-comprehensive-dataset-for-scene","repo_url":"https://github.com/cs-chan/Total-Text-Dataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"BSD-3-Clause"}}],"tasks":[{"task_slug":"curved-text-detection","task_name":"Curved Text Detection"},{"task_slug":"scene-text-detection","task_name":"Scene Text Detection"},{"task_slug":"scene-text-recognition","task_name":"Scene Text Recognition"},{"task_slug":"text-detection","task_name":"Text Detection"}],"methods":[],"datasets_introduced":[{"slug":"total-text","name":"Total-Text","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/scene-text-detection-on-total-text","task":"Scene Text Detection","dataset":"Total-Text","model":"Ch,ng et al.","rank_in_archive_order":27,"of":27,"metrics":{"F-Measure":"36.0%","Precision":"40.0","Recall":"33.0"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1710.10400","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}