{"url":"/dataset/object-centric-stylized-coco","name":"Object-Centric Stylized COCO","full_name":null,"description_markdown":"##### An object-centric version of Stylized COCO to benchmark texture bias and out-of-distribution robustness of vision models.\r\n\r\nSee the ECCV 22 [paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136680597.pdf) and [supplementary material](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136680597-supp.pdf) for details.\r\n\r\nThe dataset as used in the paper can be downloaded from here (~15GB): \r\n\r\n[https://github.com/JohannesTheo/trapped-in-texture-bias](https://github.com/JohannesTheo/trapped-in-texture-bias)","description_withheld":null,"homepage":"https://github.com/JohannesTheo/trapped-in-texture-bias","introduced_date":"2024-01-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/trapped-in-texture-bias-a-large-scale","title":"Trapped in texture bias? A large scale comparison of deep instance segmentation","first_author":"Johannes Theodoridis","url":null},"license":{"name":"MIT License","url":null},"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"},{"name":"Out-of-Distribution Generalization","url":"/task/out-of-distribution-generalization","datasets_with_task":"/datasets/task/out-of-distribution-generalization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Object-Centric Stylized COCO"],"data_loaders":[],"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."}