{"url":"/dataset/sbd","name":"SBD","full_name":"Semantic Boundaries Dataset","description_markdown":"The **Semantic Boundaries Dataset** (**SBD**) is a dataset for predicting pixels on the boundary of the object (as opposed to the inside of the object with semantic segmentation). The dataset consists of 11318 images from the trainval set of the PASCAL VOC2011 challenge, divided into 8498 training and 2820 test images. This dataset has object instance boundaries with accurate figure/ground masks that are also labeled with one of 20 Pascal VOC classes.\r\n\r\nSource: [Weakly Supervised Object Boundaries](https://arxiv.org/abs/1511.07803)\r\nImage Source: [http://home.bharathh.info/pubs/codes/SBD/download.html](http://home.bharathh.info/pubs/codes/SBD/download.html)","description_withheld":null,"homepage":"http://home.bharathh.info/pubs/codes/SBD/download.html","introduced_date":"2011-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Semantic contours from inverse detectors","first_author":null,"url":"https://doi.org/10.1109/ICCV.2011.6126343"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Interactive Segmentation","url":"/task/interactive-segmentation","datasets_with_task":"/datasets/task/interactive-segmentation"},{"name":"Edge Detection","url":"/task/edge-detection","datasets_with_task":"/datasets/task/edge-detection"},{"name":"Semantic Contour Prediction","url":"/task/semantic-contour-prediction","datasets_with_task":"/datasets/task/semantic-contour-prediction"}],"languages":[],"variants":["SBD","Sbd val"],"data_loaders":[{"repo":"https://github.com/pytorch/vision","url":"https://pytorch.org/vision/stable/datasets.html#torchvision.datasets.SBDataset","frameworks":["pytorch"]}],"num_papers_in_archive":147,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/interactive-segmentation-on-sbd","task":"Interactive Segmentation","dataset_variant":"SBD","rows":14,"metrics":["NoC@90","NoC@85","NoC@95"],"first_row_in_archive_order":{"model":"SimpleClick CFR-1 (ViT-H, SBD)","paper":"/paper/cfr-icl-cascade-forward-refinement-with","metrics":{"NoC@85":"2.45","NoC@90":"4.08","NoC@95":"9.80"},"code_links":[{"title":"TitorX/CFR-ICL-Interactive-Segmentation","url":"https://github.com/TitorX/CFR-ICL-Interactive-Segmentation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/edge-detection-on-sbd","task":"Edge Detection","dataset_variant":"SBD","rows":2,"metrics":["Maximum F-measure"],"first_row_in_archive_order":{"model":"CASENet","paper":"/paper/casenet-deep-category-aware-semantic-edge","metrics":{"Maximum F-measure":"71.4%"},"code_links":[{"title":"Lavender105/DFF","url":"https://github.com/Lavender105/DFF"},{"title":"Chrisding/seal","url":"https://github.com/Chrisding/seal"},{"title":"anirudh-chakravarthy/CASENet","url":"https://github.com/anirudh-chakravarthy/CASENet"},{"title":"milongo/CASENet","url":"https://github.com/milongo/CASENet"},{"title":"lijiaman/CASENet","url":"https://github.com/lijiaman/CASENet"},{"title":"Chrisding/sbd-preprocess","url":"https://github.com/Chrisding/sbd-preprocess"},{"title":"Chrisding/cityscapes-preprocess","url":"https://github.com/Chrisding/cityscapes-preprocess"},{"title":"arsenal9971/shearlet_semantic_edge","url":"https://github.com/arsenal9971/shearlet_semantic_edge"},{"title":"zhusiling/SEAL","url":"https://github.com/zhusiling/SEAL"},{"title":"yhcool14/cityscapes-preprocess","url":"https://github.com/yhcool14/cityscapes-preprocess"},{"title":"yhcool14/sbd-preprocess","url":"https://github.com/yhcool14/sbd-preprocess"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mst-adaptive-multi-scale-tokens-guided","title":"MST: Adaptive Multi-Scale Tokens Guided Interactive Segmentation","date":"2024-01-09","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/cfr-icl-cascade-forward-refinement-with","title":"CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation","date":"2023-03-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/simpleclick-interactive-image-segmentation","title":"SimpleClick: Interactive Image Segmentation with Simple Vision Transformers","date":"2022-10-20","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/focalclick-towards-practical-interactive","title":"FocalClick: Towards Practical Interactive Image Segmentation","date":"2022-04-06","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":21,"samples_ran":12,"samples_unverified":9,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/intention-aware-feature-propagation-network","title":"Cascaded Sparse Feature Propagation Network for Interactive Segmentation","date":"2022-03-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/focuscut-diving-into-a-focus-view-in","title":"FocusCut: Diving Into a Focus View in Interactive Segmentation","date":"2022-01-01","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/ucp-net-unstructured-contour-points-for","title":"UCP-Net: Unstructured Contour Points for Instance Segmentation","date":"2021-09-15","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/reviving-iterative-training-with-mask","title":"Reviving Iterative Training with Mask Guidance for Interactive Segmentation","date":"2021-02-12","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/f-brs-rethinking-backpropagating-refinement","title":"f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation","date":"2020-01-28","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/interactive-image-segmentation-via","title":"Interactive Image Segmentation via Backpropagating Refinement Scheme","date":"2019-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/interactive-image-segmentation-with-latent","title":"Interactive Image Segmentation With Latent Diversity","date":"2018-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/regional-interactive-image-segmentation","title":"Regional Interactive Image Segmentation Networks","date":"2017-10-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/casenet-deep-category-aware-semantic-edge","title":"CASENet: Deep Category-Aware Semantic Edge Detection","date":"2017-05-27","rows_on_this_dataset":1,"code_links":11,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":3,"samples_unverified":4,"pointer_only_for_licence":4,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/deep-interactive-object-selection","title":"Deep Interactive Object Selection","date":"2016-03-13","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":0,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/weakly-supervised-object-boundaries","title":"Weakly Supervised Object Boundaries","date":"2015-11-24","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":6,"samples_harvested":36,"samples_ran":19,"samples_unverified":17,"pointer_only_for_licence":7,"papers_with_no_sample_that_ran":1,"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."}