{"url":"/dataset/mod","name":"MOD++","full_name":null,"description_markdown":"Includes challenging sequences and extensive data stratification in-terms of camera and object motion, velocity magnitudes, direction, and rotational speeds.\r\n\r\nSource: [0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera](/paper/moms-with-events-multi-object-motion)","description_withheld":null,"homepage":"https://github.com/prgumd/0-MMS","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/moms-with-events-multi-object-motion","title":"0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera","first_author":"Chethan M. Parameshwara","url":null},"license":null,"modalities":[],"tasks":[{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"},{"name":"Motion Segmentation","url":"/task/motion-segmentation","datasets_with_task":"/datasets/task/motion-segmentation"},{"name":"Video Recognition","url":"/task/video-recognition","datasets_with_task":"/datasets/task/video-recognition"}],"languages":[],"variants":["MOD++"],"data_loaders":[{"repo":"https://github.com/prgumd/0-MMS","url":"https://github.com/prgumd/0-MMS","frameworks":[]}],"num_papers_in_archive":3,"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."}