{"url":"/dataset/uplight","name":"UPLight","full_name":null,"description_markdown":"UPLight is an underwater RGB-Polarization multimodal semantic segmentation dataset with 12 typical underwater semantic classes.","description_withheld":null,"homepage":"https://github.com/LEFTeyex/ShareCMP","introduced_date":"2023-12-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/sharecmp-polarization-aware-rgb-p-semantic","title":"ShareCMP: Polarization-Aware RGB-P Semantic Segmentation","first_author":"Zhuoyan Liu","url":null},"license":{"name":"MiT","url":"https://github.com/LEFTeyex/ShareCMP/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[],"variants":[],"data_loaders":[{"repo":"https://github.com/lefteyex/sharecmp","url":"https://github.com/lefteyex/sharecmp","frameworks":[]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-uplight","task":"Semantic Segmentation","dataset_variant":"UPLight","rows":8,"metrics":["mIoU"],"first_row_in_archive_order":{"model":"ShareCMP (B2 RGB-FP)","paper":"/paper/sharecmp-polarization-aware-rgb-p-semantic","metrics":{"mIoU":"92.45"},"code_links":[{"title":"lefteyex/sharecmp","url":"https://github.com/lefteyex/sharecmp"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/sharecmp-polarization-aware-rgb-p-semantic","title":"ShareCMP: Polarization-Aware RGB-P Semantic Segmentation","date":"2023-12-06","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/cmx-cross-modal-fusion-for-rgb-x-semantic","title":"CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers","date":"2022-03-09","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/multimodal-material-segmentation","title":"Multimodal Material Segmentation","date":"2022-01-01","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/segformer-simple-and-efficient-design-for","title":"SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers","date":"2021-05-31","rows_on_this_dataset":1,"code_links":28,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":86,"samples_ran":48,"samples_unverified":38,"pointer_only_for_licence":15,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/polarization-driven-semantic-segmentation-via","title":"Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion","date":"2020-11-26","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":91,"samples_ran":53,"samples_unverified":38,"pointer_only_for_licence":15,"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."}