{"url":"/dataset/synwoodscape","name":"SynWoodScape","full_name":"Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving","description_markdown":"**SynWoodScape** is a synthetic version of the surround-view dataset covering many of its weaknesses and extending it. WoodScape comprises four surround-view cameras and nine tasks, including segmentation, depth estimation, 3D bounding box detection, and a novel soiling detection. Semantic annotation of 40 classes at the instance level is provided for over 10,000 images. With WoodScape, we would like to encourage the community to adapt computer vision models for the fisheye camera instead of using naive rectification.","description_withheld":null,"homepage":"https://github.com/valeoai/WoodScape","introduced_date":"2022-03-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/synwoodscape-synthetic-surround-view-fisheye","title":"SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving","first_author":"Ahmed Rida Sekkat","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"},{"name":"Optical Flow Estimation","url":"/task/optical-flow-estimation","datasets_with_task":"/datasets/task/optical-flow-estimation"}],"languages":[],"variants":["SynWoodScape"],"data_loaders":[],"num_papers_in_archive":13,"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."}