{"url":"/dataset/virtual-kitti-2","name":"Virtual KITTI 2","full_name":null,"description_markdown":"Virtual KITTI 2 is an updated version of the well-known Virtual KITTI dataset which consists of 5 sequence clones from the KITTI tracking benchmark. In addition, the dataset provides different variants of these sequences such as modified weather conditions (e.g. fog, rain) or modified camera configurations (e.g. rotated by 15◦). For each sequence we provide multiple sets of images containing RGB, depth, class segmentation, instance segmentation, flow, and scene flow data. Camera parameters and poses as well as vehicle locations are available as well. In order to showcase some of the dataset’s capabilities, we ran multiple relevant experiments using state-of-the-art algorithms from the field of autonomous driving. The dataset is available for download at https://europe.naverlabs.com/Research/Computer-Vision/Proxy-Virtual-Worlds.","description_withheld":null,"homepage":"https://europe.naverlabs.com/Research/Computer-Vision/Proxy-Virtual-Worlds","introduced_date":"2020-01-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/virtual-kitti-2","title":"Virtual KITTI 2","first_author":"Yohann Cabon","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0","url":"https://creativecommons.org/licenses/by-nc-sa/3.0/legalcode"},"modalities":[],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"Multi-Object Tracking","url":"/task/multi-object-tracking","datasets_with_task":"/datasets/task/multi-object-tracking"},{"name":"Monocular Depth Estimation","url":"/task/monocular-depth-estimation","datasets_with_task":"/datasets/task/monocular-depth-estimation"},{"name":"Monocular 3D Object Detection","url":"/task/monocular-3d-object-detection","datasets_with_task":"/datasets/task/monocular-3d-object-detection"},{"name":"Visual Odometry","url":"/task/visual-odometry","datasets_with_task":"/datasets/task/visual-odometry"},{"name":"Simultaneous Localization and Mapping","url":"/task/simultaneous-localization-and-mapping","datasets_with_task":"/datasets/task/simultaneous-localization-and-mapping"},{"name":"Stereo Matching","url":"/task/stereo-matching-1","datasets_with_task":"/datasets/task/stereo-matching-1"}],"languages":[],"variants":["Virtual KITTI 2"],"data_loaders":[],"num_papers_in_archive":53,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/monocular-3d-object-detection-on-virtual","task":"Monocular 3D Object Detection","dataset_variant":"Virtual KITTI 2","rows":1,"metrics":["mAP@0.3","mAP@0.5"],"first_row_in_archive_order":{"model":"CubifAE-3D","paper":"/paper/cubifae-3d-monocular-camera-space","metrics":{"mAP@0.3":"86.6","mAP@0.5":"66.7"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/monocular-depth-estimation-on-virtual-kitti-2","task":"Monocular Depth Estimation","dataset_variant":"Virtual KITTI 2","rows":1,"metrics":["Delta < 1.25","RMSE","absolute relative error"],"first_row_in_archive_order":{"model":"ScaleDepth-NK","paper":"/paper/scaledepth-decomposing-metric-depth","metrics":{"Delta < 1.25":"0.834","RMSE":"4.747","absolute relative error":"0.12"},"code_links":[{"title":"RuijieZhu94/mmdepth","url":"https://github.com/RuijieZhu94/mmdepth/blob/main/projects/ScaleDepth/README.md"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/scaledepth-decomposing-metric-depth","title":"ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation","date":"2024-07-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/cubifae-3d-monocular-camera-space","title":"CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection","date":"2020-06-07","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}