{"url":"/dataset/movid-amodal","name":"MOViD-Amodal","full_name":"MOViD-Amodal","description_markdown":"MOViD-A is a video-based synthesized dataset. We create it from MOVi dataset for amodal segmentation. The virtual camera is set to go around the scene, capturing about 24 consecutive frames. We randomly place 10 ∼ 20 static objects that heavily occlude each other in the scene. Finally, we collect 630 and 208 videos for training and testing.","description_withheld":null,"homepage":"https://jianxgao.github.io/C2F-Seg/","introduced_date":"2023-08-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/coarse-to-fine-amodal-segmentation-with-shape","title":"Coarse-to-Fine Amodal Segmentation with Shape Prior","first_author":"Jianxiong Gao","url":null},"license":{"name":"Apache-2.0","url":null},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Amodal Instance Segmentation","url":"/task/amodal-instance-segmentation","datasets_with_task":"/datasets/task/amodal-instance-segmentation"}],"languages":[],"variants":["MOViD-Amodal"],"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."}