{"url":"/dataset/fashionfail","name":"FashionFail","full_name":"FashionFail","description_markdown":"The FashionFail dataset comprises 2,495 high-resolution images (2400x2400 pixels) of products found on e-commerce websites. \r\nIt is designed to address the limitations of existing state-of-the-art fashion parsing models. FashionFail consists of a diverse set of online shopping images with categories that are compatible with the established Fashionpedia dataset.\r\nThe dataset is divided into training, validation, and test sets, consisting of 1,344, 150, and 1,001 images, respectively.","description_withheld":null,"homepage":"https://rizavelioglu.github.io/fashionfail/","introduced_date":"2024-04-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/fashionfail-addressing-failure-cases-in","title":"FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation","first_author":"Riza Velioglu","url":null},"license":{"name":"Server Side Public License (SSPL)","url":"https://www.mongodb.com/legal/licensing/server-side-public-license"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"}],"languages":[],"variants":["FashionFail"],"data_loaders":[{"repo":"https://github.com/rizavelioglu/fashionfail","url":"https://huggingface.co/datasets/rizavelioglu/fashionfail","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"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."}