{"url":"/dataset/clothing-attributes-dataset","name":"Clothing Attributes Dataset","full_name":null,"description_markdown":"We introduce the Clothing Attribute Dataset for promoting research in learning visual attributes for objects. The dataset contains 1856 images, with 26 ground truth clothing attributes such as \"long-sleeves\", \"has collar\", and \"striped pattern\". The labels were collected using Amazon Mechanical Turk.\r\n\r\nSource: [Describing Clothing by Semantic Attributes](https://huizhongchen.github.io/papers/ECCV2012_ClothingAttributes.pdf)\r\nImage Source: [https://huizhongchen.github.io/papers/ECCV2012_ClothingAttributes.pdf](https://huizhongchen.github.io/papers/ECCV2012_ClothingAttributes.pdf)","description_withheld":null,"homepage":"https://purl.stanford.edu/tb980qz1002","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Clothing Attribute Recognition","url":"/task/clothing-attribute-recognition","datasets_with_task":"/datasets/task/clothing-attribute-recognition"}],"languages":[],"variants":["Clothing Attributes Dataset"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/clothing-attribute-recognition-on-clothing","task":"Clothing Attribute Recognition","dataset_variant":"Clothing Attributes Dataset","rows":4,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"Label2Label","paper":"/paper/label2label-a-language-modeling-framework-for","metrics":{"Accuracy":"92.87"},"code_links":[{"title":"li-wanhua/label2label","url":"https://github.com/li-wanhua/label2label"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/label2label-a-language-modeling-framework-for","title":"Label2Label: A Language Modeling Framework for Multi-Attribute Learning","date":"2022-07-18","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":2,"samples_unverified":3,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/efficient-relative-attribute-learning-using","title":"Efficient Relative Attribute Learning using Graph Neural Networks","date":"2018-09-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-task-cnn-model-for-attribute-prediction","title":"Multi-task CNN Model for Attribute Prediction","date":"2016-01-04","rows_on_this_dataset":2,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":2,"samples_unverified":3,"pointer_only_for_licence":5,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}