{"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/freelabel-a-publicly-available-annotation","title":"FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces","arxiv_id":"1902.06806","date":"2019-02-18","proceeding":null,"authors":["Philipe A. Dias","Zhou Shen","Amy Tabb","Henry Medeiros"],"abstract":"Large-scale annotation of image segmentation datasets is often prohibitively\nexpensive, as it usually requires a huge number of worker hours to obtain\nhigh-quality results. Abundant and reliable data has been, however, crucial for\nthe advances on image understanding tasks achieved by deep learning models. In\nthis paper, we introduce FreeLabel, an intuitive open-source web interface that\nallows users to obtain high-quality segmentation masks with just a few freehand\nscribbles, in a matter of seconds. The efficacy of FreeLabel is quantitatively\ndemonstrated by experimental results on the PASCAL dataset as well as on a\ndataset from the agricultural domain. Designed to benefit the computer vision\ncommunity, FreeLabel can be used for both crowdsourced or private annotation\nand has a modular structure that can be easily adapted for any image dataset.","url_abs":"http://arxiv.org/abs/1902.06806v2","url_pdf":"http://arxiv.org/pdf/1902.06806v2.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":"freelabel-a-publicly-available-annotation","repo_url":"https://github.com/philadias/freelabel","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"freelabel-a-publicly-available-annotation","repo_url":"https://github.com/zhou-1/COVISS-Lab-Research","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"segmentation","task_name":"Segmentation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}