{"url":"/dataset/swimseg","name":"SWIMSEG","full_name":"Singapore Whole sky IMaging SEGmentation Database","description_markdown":"The SWIMSEG dataset contains 1013 images of sky/cloud patches, along with their corresponding binary segmentation maps. The ground truth annotation was done in consultation with experts from Singapore Meteorological Services.  All images were captured in Singapore using WAHRSIS, a calibrated ground-based whole sky imager, over a period of 22 months from October 2013 to July 2015. Each patch covers about 60-70 degrees of the sky with a resolution of 600x600 pixels.\r\n\r\nSource: [Color-based segmentation of sky/cloud images from ground-based cameras](https://stefan.winkler.site/Publications/jstars2017.pdf)","description_withheld":null,"homepage":"http://vintage.winklerbros.net/swimseg.html","introduced_date":"2016-06-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/color-based-segmentation-of-skycloud-images","title":"Color-based Segmentation of Sky/Cloud Images From Ground-based Cameras","first_author":"Soumyabrata Dev","url":null},"license":{"name":"Creative Commons License","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[],"variants":["SWIMSEG"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-swimseg","task":"Semantic Segmentation","dataset_variant":"SWIMSEG","rows":1,"metrics":["Average Precision","Average Recall","F1-Score","MCC","Mean IoU"],"first_row_in_archive_order":{"model":"ACLNet","paper":"/paper/aclnet-an-attention-and-clustering-based","metrics":{"Average Precision":"0.964","Average Recall":"0.979","F1-Score":"0.971","MCC":"0.956","Mean IoU":"0.992"},"code_links":[{"title":"ckmvigil/aclnet","url":"https://github.com/ckmvigil/aclnet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/aclnet-an-attention-and-clustering-based","title":"ACLNet: An Attention and Clustering-based Cloud Segmentation Network","date":"2022-07-13","rows_on_this_dataset":1,"code_links":1,"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."}