{"url":"/dataset/occluded-coco","name":"Occluded COCO","full_name":null,"description_markdown":"**Occluded COCO** is automatically generated subset of COCO val dataset, collecting partially occluded objects for a large variety of categories in real images in a scalable manner, where target object is partially occluded but the segmentation mask is connected.","description_withheld":null,"homepage":"https://www.robots.ox.ac.uk/~vgg/research/tpod/","introduced_date":"2022-10-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-tri-layer-plugin-to-improve-occluded","title":"A Tri-Layer Plugin to Improve Occluded Detection","first_author":"Guanqi Zhan","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"},{"name":"Robust Object Detection","url":"/task/robust-object-detection","datasets_with_task":"/datasets/task/robust-object-detection"},{"name":"Occlusion Handling","url":"/task/occlusion-handling","datasets_with_task":"/datasets/task/occlusion-handling"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Occluded COCO"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/instance-segmentation-on-occluded-coco","task":"Instance Segmentation","dataset_variant":"Occluded COCO","rows":6,"metrics":["Mean Recall"],"first_row_in_archive_order":{"model":"Swin-B + Cascade Mask R-CNN (tri-layer modelling)","paper":"/paper/a-tri-layer-plugin-to-improve-occluded","metrics":{"Mean Recall":"63.64"},"code_links":[{"title":"Championchess/Tri-Layer_Plugin_Occluded_Detection","url":"https://github.com/Championchess/Tri-Layer_Plugin_Occluded_Detection"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-tri-layer-plugin-to-improve-occluded","title":"A Tri-Layer Plugin to Improve Occluded Detection","date":"2022-10-18","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/swin-transformer-hierarchical-vision","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows","date":"2021-03-25","rows_on_this_dataset":3,"code_links":80,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":207,"samples_ran":108,"samples_unverified":99,"pointer_only_for_licence":43,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":207,"samples_ran":108,"samples_unverified":99,"pointer_only_for_licence":43,"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."}