{"url":"/dataset/s-sod","name":"S-SOD","full_name":"Surveillance Salient Object Detection","description_markdown":"To validate the generalization abilities of SOD models, we create a small-scale dataset by collecting the most challenging images with varying brightness and contrast, background and foreground colors overlap, among many others. We conclude that the current models, including ours, are not trust-worthy for real-world practice, demanding extensive future research for more efficient and generalized SOD models.","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/1U9I_fNLVd50-hmSwzSdSQLtCG4_ohXeW?usp=sharing","introduced_date":"2021-02-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/densely-deformable-efficient-salient-object","title":"Densely Deformable Efficient Salient Object Detection Network","first_author":"Tanveer Hussain","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["S-SOD"],"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."}