{"url":"/dataset/streettryon","name":"StreetTryOn","full_name":null,"description_markdown":"StreetTryOn, the new in-the-wild Virtual Try-On dataset, consists of 12,364 and 2,089 street person images for training and validation, respectively. It is derived from the large fashion retrieval dataset DeepFashion2, from which we filter out over 90% of DeepFashion2 images that are infeasible for try-on tasks (e.g., non-frontal view, large occlusion, dark environment, etc.). Combining with the garment and person images in VITON-HD, we obtain a comprehensive suite of in-domain and cross-domain try-on tasks that have garment and person inputs from various sources, including Shop2Model, Model2Model, Shop2Street, and Street2Street.\r\n\r\n- 12,364 training images and 2,089 test images\r\n- Tests included:\r\n    - Shop2Model\r\n    - Model2Model\r\n    - Shop2Street\r\n    - Model2Street\r\n    - Street2Street","description_withheld":null,"homepage":"https://github.com/cuiaiyu/street-tryon-benchmark","introduced_date":"2023-11-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/street-tryon-learning-in-the-wild-virtual-try","title":"Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images","first_author":"Aiyu Cui","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Virtual Try-on","url":"/task/virtual-try-on","datasets_with_task":"/datasets/task/virtual-try-on"},{"name":"Virtual Try-on (Shop2Street)","url":"/task/virtual-try-on-shop2street","datasets_with_task":"/datasets/task/virtual-try-on-shop2street"},{"name":"Virtual Try-on (Model2Street)","url":"/task/virtual-try-on-model2street","datasets_with_task":"/datasets/task/virtual-try-on-model2street"},{"name":"Virtual Try-on (Street2Street)","url":"/task/virtual-try-on-street2street","datasets_with_task":"/datasets/task/virtual-try-on-street2street"}],"languages":[],"variants":["StreetTryOn"],"data_loaders":[{"repo":"https://github.com/cuiaiyu/street-tryon-benchmark","url":"https://github.com/cuiaiyu/street-tryon-benchmark/blob/main/street_tryon_tutorial.ipynb","frameworks":["pytorch"]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/virtual-try-on-on-streettryon","task":"Virtual Try-on","dataset_variant":"StreetTryOn","rows":1,"metrics":["FID"],"first_row_in_archive_order":{"model":"Street TryOn","paper":"/paper/street-tryon-learning-in-the-wild-virtual-try","metrics":{"FID":"33.039"},"code_links":[{"title":"cuiaiyu/street-tryon-benchmark","url":"https://github.com/cuiaiyu/street-tryon-benchmark"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/street-tryon-learning-in-the-wild-virtual-try","title":"Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Person Images","date":"2023-11-27","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}