{"url":"/dataset/ev-imo","name":"EV-IMO","full_name":null,"description_markdown":"Includes accurate pixel-wise motion masks, egomotion and ground truth depth. \r\n\r\nSource: [EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras](/paper/ev-imo-motion-segmentation-dataset-and)","description_withheld":null,"homepage":"https://better-flow.github.io/evimo/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/ev-imo-motion-segmentation-dataset-and","title":"EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras","first_author":"Anton Mitrokhin","url":null},"license":null,"modalities":[],"tasks":[{"name":"Object Recognition","url":"/task/object-recognition","datasets_with_task":"/datasets/task/object-recognition"},{"name":"Motion Segmentation","url":"/task/motion-segmentation","datasets_with_task":"/datasets/task/motion-segmentation"},{"name":"Motion Estimation","url":"/task/motion-estimation","datasets_with_task":"/datasets/task/motion-estimation"}],"languages":[],"variants":["EV-IMO"],"data_loaders":[],"num_papers_in_archive":22,"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."}