{"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/the-hasyv2-dataset","title":"The HASYv2 dataset","arxiv_id":"1701.08380","date":"2017-01-29","proceeding":null,"authors":["Martin Thoma"],"abstract":"This paper describes the HASYv2 dataset. HASY is a publicly available, free\nof charge dataset of single symbols similar to MNIST. It contains 168233\ninstances of 369 classes. HASY contains two challenges: A classification\nchallenge with 10 pre-defined folds for 10-fold cross-validation and a\nverification challenge.","url_abs":"http://arxiv.org/abs/1701.08380v1","url_pdf":"http://arxiv.org/pdf/1701.08380v1.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":"the-hasyv2-dataset","repo_url":"https://github.com/AntonioRochaAZ/ImageNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"the-hasyv2-dataset","repo_url":"https://github.com/MartinThoma/HASY","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[{"slug":"hasy","name":"HASY","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}