{"url":"/dataset/kitti-15-msplus","name":"KITTI'15 MSplus","full_name":"KITTI'15 Instance Motion Segmentation - extension","description_markdown":"Extension of the official [KITTI'15 dataset](http://www.cvlibs.net/datasets/kitti/). independently moving instance segmentation ground truth to cover all moving objects, not just a selection of cars and vans.\r\n\r\n- Instance Motion Segmentation of all moving objects\r\n- Binary Motion Segmentation (background/foreground)\r\n- Validation Masks\r\n\r\nDataset contains:\r\n\r\n- Instance Motion Segmenation for the **training** split of the KITTI'15 dataset","description_withheld":null,"homepage":"https://github.com/michalneoral/Raptor","introduced_date":"2021-11-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/monocular-arbitrary-moving-object-discovery","title":"Monocular Arbitrary Moving Object Discovery and Segmentation","first_author":"Michal Neoral","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Motion Segmentation","url":"/task/motion-segmentation","datasets_with_task":"/datasets/task/motion-segmentation"},{"name":"Motion Detection","url":"/task/motion-detection","datasets_with_task":"/datasets/task/motion-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["KITTI'15 MSplus"],"data_loaders":[],"num_papers_in_archive":1,"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."}