{"url":"/dataset/drivingstereo","name":"DrivingStereo","full_name":null,"description_markdown":"DrivingStereo contains over 180k images covering a diverse set of driving scenarios, which is hundreds of times larger than the KITTI Stereo dataset. High-quality labels of disparity are produced by a model-guided filtering strategy from multi-frame LiDAR points. \r\n\r\nSource: [DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios](/paper/drivingstereo-a-large-scale-dataset-for)\r\nImage Source: [https://drivingstereo-dataset.github.io/](https://drivingstereo-dataset.github.io/)","description_withheld":null,"homepage":"https://drivingstereo-dataset.github.io","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/drivingstereo-a-large-scale-dataset-for","title":"DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios","first_author":"Guorun Yang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"},{"name":"Stereo Matching","url":"/task/stereo-matching-1","datasets_with_task":"/datasets/task/stereo-matching-1"}],"languages":[],"variants":["DrivingStereo"],"data_loaders":[],"num_papers_in_archive":50,"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."}