{"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/logo-net-large-scale-deep-logo-detection-and","title":"LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks","arxiv_id":"1511.02462","date":"2015-11-08","proceeding":null,"authors":["Steven C. H. Hoi","Xiongwei Wu","Hantang Liu","Yue Wu","Huiqiong Wang","Hui Xue","Qiang Wu"],"abstract":"Logo detection from images has many applications, particularly for brand\nrecognition and intellectual property protection. Most existing studies for\nlogo recognition and detection are based on small-scale datasets which are not\ncomprehensive enough when exploring emerging deep learning techniques. In this\npaper, we introduce \"LOGO-Net\", a large-scale logo image database for logo\ndetection and brand recognition from real-world product images. To facilitate\nresearch, LOGO-Net has two datasets: (i)\"logos-18\" consists of 18 logo classes,\n10 brands, and 16,043 logo objects, and (ii) \"logos-160\" consists of 160 logo\nclasses, 100 brands, and 130,608 logo objects. We describe the ideas and\nchallenges for constructing such a large-scale database. Another key\ncontribution of this work is to apply emerging deep learning techniques for\nlogo detection and brand recognition tasks, and conduct extensive experiments\nby exploring several state-of-the-art deep region-based convolutional networks\ntechniques for object detection tasks. The LOGO-net will be released at\nhttp://logo-net.org/","url_abs":"http://arxiv.org/abs/1511.02462v2","url_pdf":"http://arxiv.org/pdf/1511.02462v2.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":[],"tasks":[{"task_slug":"logo-recognition","task_name":"Logo Recognition"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[{"slug":"logo-net","name":"LOGO-Net","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}