{"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/improving-the-annotation-of-deepfashion","title":"Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition","arxiv_id":"1807.11674","date":"2018-07-31","proceeding":null,"authors":["Roshanak Zakizadeh","Michele Sasdelli","Yu Qian","Eduard Vazquez"],"abstract":"DeepFashion is a widely used clothing dataset with 50 categories and more\nthan overall 200k images where each image is annotated with fine-grained\nattributes. This dataset is often used for clothes recognition and although it\nprovides comprehensive annotations, the attributes distribution is unbalanced\nand repetitive specially for training fine-grained attribute recognition\nmodels. In this work, we tailored DeepFashion for fine-grained attribute\nrecognition task by focusing on each category separately. After selecting\ncategories with sufficient number of images for training, we remove very scarce\nattributes and merge the duplicate ones in each category, then we clean the\ndataset based on the new list of attributes. We use a bilinear convolutional\nneural network with pairwise ranking loss function for multi-label fine-grained\nattribute recognition and show that the new annotations improve the results for\nsuch a task. The detailed annotations for each of the selected categories are\nprovided for public use.","url_abs":"http://arxiv.org/abs/1807.11674v1","url_pdf":"http://arxiv.org/pdf/1807.11674v1.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":"improving-the-annotation-of-deepfashion","repo_url":"https://github.com/roshanaz/deepfashion_ninecat","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}