{"url":"/dataset/pascal-panoptic-parts","name":"Pascal Panoptic Parts","full_name":null,"description_markdown":"The Pascal Panoptic Parts dataset consists of annotations for the part-aware panoptic segmentation task on the PASCAL VOC 2010 dataset. It is created by merging scene-level labels from PASCAL-Context with part-level labels from PASCAL-Part\r\n\r\nSource: [https://arxiv.org/abs/2106.06351](https://arxiv.org/abs/2106.06351s)\r\nImage Source: [https://github.com/tue-mps/panoptic_parts](https://github.com/tue-mps/panoptic_parts)","description_withheld":null,"homepage":"https://github.com/tue-mps/panoptic_parts","introduced_date":"2021-06-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/part-aware-panoptic-segmentation","title":"Part-aware Panoptic Segmentation","first_author":"Daan de Geus","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Panoptic Segmentation","url":"/task/panoptic-segmentation","datasets_with_task":"/datasets/task/panoptic-segmentation"},{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"},{"name":"Image Segmentation","url":"/task/image-segmentation","datasets_with_task":"/datasets/task/image-segmentation"},{"name":"Human Part Segmentation","url":"/task/human-part-segmentation","datasets_with_task":"/datasets/task/human-part-segmentation"},{"name":"Part-aware Panoptic Segmentation","url":"/task/part-level-panoptic-segmentation","datasets_with_task":"/datasets/task/part-level-panoptic-segmentation"}],"languages":[],"variants":["Pascal Panoptic Parts"],"data_loaders":[{"repo":"https://github.com/pmeletis/panoptic_parts","url":"https://github.com/pmeletis/panoptic_parts","frameworks":["pytorch"]}],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-segmentation-on-pascal-panoptic-parts","task":"Image Segmentation","dataset_variant":"Pascal Panoptic Parts","rows":4,"metrics":["mIoUPartS"],"first_row_in_archive_order":{"model":"HIPIE (ViT-H)","paper":"/paper/hierarchical-open-vocabulary-universal-image-1","metrics":{"mIoUPartS":"63.8"},"code_links":[{"title":"berkeley-hipie/hipie","url":"https://github.com/berkeley-hipie/hipie"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/part-aware-panoptic-segmentation-on-pascal","task":"Part-aware Panoptic Segmentation","dataset_variant":"Pascal Panoptic Parts","rows":4,"metrics":["PartPQ"],"first_row_in_archive_order":{"model":"TAPPS (Swin-B, COCO pre-training)","paper":"/paper/task-aligned-part-aware-panoptic-segmentation-1","metrics":{"PartPQ":"60.4"},"code_links":[{"title":"tue-mps/tapps","url":"https://github.com/tue-mps/tapps"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/task-aligned-part-aware-panoptic-segmentation-1","title":"Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations","date":"2024-06-14","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/jppf-multi-task-fusion-for-consistent","title":"JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation","date":"2023-11-30","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/hierarchical-open-vocabulary-universal-image-1","title":"Hierarchical Open-vocabulary Universal Image Segmentation","date":"2023-07-03","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":2,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/multi-task-fusion-for-efficient-panoptic-part","title":"Multi-task Fusion for Efficient Panoptic-Part Segmentation","date":"2022-12-15","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/panoptic-partformer-learning-a-unified-model","title":"Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation","date":"2022-04-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/part-aware-panoptic-segmentation","title":"Part-aware Panoptic Segmentation","date":"2021-06-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":2,"samples_unverified":9,"pointer_only_for_licence":0,"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":3,"samples_harvested":17,"samples_ran":5,"samples_unverified":12,"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."}