{"url":"/dataset/v2v4real","name":"V2V4Real","full_name":null,"description_markdown":"**V2V4Real** is a large-scale real-world multi-modal dataset for V2V perception. The data is collected by two vehicles equipped with multi modal sensors driving together through diverse scenarios. It covers a driving area of 410 km comprising 20K LiDAR frames, 40K RGB frames, 240K annotated 3D bounding boxes for 5 classes, and HDMaps that cover all the driving routes.\r\n\r\nSource: [V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception](https://arxiv.org/pdf/2303.07601v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2303.07601v1.pdf](https://arxiv.org/pdf/2303.07601v1.pdf)","description_withheld":null,"homepage":"https://github.com/ucla-mobility/v2v4real","introduced_date":"2023-03-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/v2v4real-a-real-world-large-scale-dataset-for","title":"V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception","first_author":"Runsheng Xu","url":null},"license":{"name":"Apache-2.0 license","url":"https://github.com/ucla-mobility/V2V4Real/blob/main/LICENSE"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"RGB Video","url":"/datasets/modality/rgb-video"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"3D Object Detection","url":"/task/3d-object-detection","datasets_with_task":"/datasets/task/3d-object-detection"}],"languages":[],"variants":["V2V4Real"],"data_loaders":[],"num_papers_in_archive":35,"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."}