{"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/sushi-dish-object-detection-and","title":"Sushi Dish - Object detection and classification from real images","arxiv_id":"1709.00751","date":"2017-09-03","proceeding":null,"authors":["Yeongjin Oh","Seunghyun Son","Gyumin Sim"],"abstract":"In conveyor belt sushi restaurants, billing is a burdened job because one has\nto manually count the number of dishes and identify the color of them to\ncalculate the price. In a busy situation, there can be a mistake that customers\nare overcharged or under-charged. To deal with this problem, we developed a\nmethod that automatically identifies the color of dishes and calculate the\ntotal price using real images. Our method consists of ellipse fitting and\nconvol-utional neural network. It achieves ellipse detection precision 85% and\nrecall 96% and classification accuracy 92%.","url_abs":"http://arxiv.org/abs/1709.00751v2","url_pdf":"http://arxiv.org/pdf/1709.00751v2.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":"sushi-dish-object-detection-and","repo_url":"https://github.com/YeongjinOh/Sushi-Dish","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}