{"url":"/dataset/woodscape","name":"WoodScape","full_name":null,"description_markdown":"Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of its prevalence, there are few public datasets for detailed evaluation of computer vision algorithms on fisheye images.\r\n**WoodScape** is an extensive fisheye automotive dataset named after Robert Wood who invented the fisheye camera in 1906. WoodScape comprises of four surround view cameras and nine tasks including segmentation, depth estimation, 3D bounding box detection and soiling detection. Semantic annotation of 40 classes at the instance level is provided for over 10,000 images and annotation for other tasks are provided for over 100,000 images.\r\n\r\nSource: [https://github.com/valeoai/WoodScape](https://github.com/valeoai/WoodScape)\r\nImage Source: [https://github.com/valeoai/WoodScape](https://github.com/valeoai/WoodScape)","description_withheld":null,"homepage":"https://github.com/valeoai/WoodScape","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/woodscape-a-multi-task-multi-camera-fisheye","title":"WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving","first_author":"Senthil Yogamani","url":null},"license":{"name":"Unknown","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":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Semi-Supervised Semantic Segmentation","url":"/task/semi-supervised-semantic-segmentation","datasets_with_task":"/datasets/task/semi-supervised-semantic-segmentation"},{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"}],"languages":[],"variants":["WoodScape"],"data_loaders":[{"repo":"https://github.com/valeoai/WoodScape","url":"https://github.com/valeoai/WoodScape","frameworks":[]}],"num_papers_in_archive":55,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semi-supervised-semantic-segmentation-on-45","task":"Semi-Supervised Semantic Segmentation","dataset_variant":"WoodScape","rows":2,"metrics":["Mean IoU"],"first_row_in_archive_order":{"model":"FishSegSSL","paper":"/paper/fishsegssl-a-semi-supervised-semantic","metrics":{"Mean IoU":"64.81"},"code_links":[{"title":"snehaputul/FishSegSSL","url":"https://github.com/snehaputul/FishSegSSL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/fishsegssl-a-semi-supervised-semantic","title":"FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images","date":"2024-03-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/semi-supervised-semantic-segmentation-with-3","title":"Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision","date":"2021-06-02","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":39,"samples_ran":22,"samples_unverified":17,"pointer_only_for_licence":28,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":39,"samples_ran":22,"samples_unverified":17,"pointer_only_for_licence":28,"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."}