{"url":"/dataset/soc","name":"SOC","full_name":"Salient Objects in Clutter","description_markdown":"SOC (Salient Objects in Clutter) is a dataset for Salient Object Detection (SOD). It includes images with salient and non-salient objects from daily object categories. Beyond object category annotations, each salient image is accompanied by attributes that reflect common challenges in real-world scenes.","description_withheld":null,"homepage":"http://dpfan.net/SOCBenchmark/","introduced_date":"2018-03-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/salient-objects-in-clutter-bringing-salient","title":"Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground","first_author":"Deng-Ping Fan","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"RGB Salient Object Detection","url":"/task/salient-object-detection","datasets_with_task":"/datasets/task/salient-object-detection"},{"name":"Salient Object Detection","url":"/task/salient-object-detection-1","datasets_with_task":"/datasets/task/salient-object-detection-1"}],"languages":[],"variants":["SOC"],"data_loaders":[],"num_papers_in_archive":31,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/salient-object-detection-on-soc","task":"RGB Salient Object Detection","dataset_variant":"SOC","rows":7,"metrics":["Average MAE","S-Measure","mean E-Measure"],"first_row_in_archive_order":{"model":"UCNet-CVAE","paper":"/paper/uncertainty-inspired-rgb-d-saliency-detection","metrics":{"Average MAE":"0.089","S-Measure":"0.849","mean E-Measure":"0.872"},"code_links":[{"title":"taozh2017/RGBD-SODsurvey","url":"https://github.com/taozh2017/RGBD-SODsurvey"},{"title":"JingZhang617/UCNet","url":"https://github.com/JingZhang617/UCNet"},{"title":"DengPingFan/S-measure","url":"https://github.com/DengPingFan/S-measure"},{"title":"DengPingFan/SOC-DataAug","url":"https://github.com/DengPingFan/SOC-DataAug"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/uncertainty-inspired-rgb-d-saliency-detection","title":"Uncertainty Inspired RGB-D Saliency Detection","date":"2020-09-07","rows_on_this_dataset":2,"code_links":4,"syntology":null},{"paper":"/paper/stacked-cross-refinement-network-for-edge","title":"Stacked Cross Refinement Network for Edge-Aware Salient Object Detection","date":"2019-10-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/basnet-boundary-aware-salient-object","title":"BASNet: Boundary-Aware Salient Object Detection","date":"2019-06-01","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/attentive-feedback-network-for-boundary-aware","title":"Attentive Feedback Network for Boundary-Aware Salient Object Detection","date":"2019-06-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/picanet-learning-pixel-wise-contextual","title":"PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection","date":"2017-08-21","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/non-local-deep-features-for-salient-object","title":"Non-Local Deep Features for Salient Object Detection","date":"2017-07-01","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"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."}