{"url":"/dataset/semanticstf","name":"SemanticSTF","full_name":null,"description_markdown":"**SemanticSTF** is an adverse-weather point cloud dataset that provides dense point-level annotations and allows to study 3DSS under various adverse weather conditions. It contains  2,076 scans captured by a Velodyne HDL64 S3D LiDAR sensor from STF that cover various adverse weather conditions including 694 snowy, 637 dense-foggy, 631 light-foggy, and 114 rainy (all rainy LiDAR scans in STF).\r\n\r\nSource: [3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds](https://arxiv.org/pdf/2304.00690v1.pdf)\r\n\r\nImage Source: [3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds](https://arxiv.org/pdf/2304.00690v1.pdf)","description_withheld":null,"homepage":"https://github.com/xiaoaoran/SemanticSTF","introduced_date":"2023-04-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/3d-semantic-segmentation-in-the-wild-learning","title":"3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds","first_author":"Aoran Xiao","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License","url":"http://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"3D Semantic Segmentation","url":"/task/3d-semantic-segmentation","datasets_with_task":"/datasets/task/3d-semantic-segmentation"},{"name":"LIDAR Semantic Segmentation","url":"/task/lidar-semantic-segmentation","datasets_with_task":"/datasets/task/lidar-semantic-segmentation"}],"languages":[],"variants":["SemanticSTF"],"data_loaders":[],"num_papers_in_archive":12,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/lidar-semantic-segmentation-on-semanticstf","task":"LIDAR Semantic Segmentation","dataset_variant":"SemanticSTF","rows":2,"metrics":["Mean IoU"],"first_row_in_archive_order":{"model":"SJ+LPD (SemanticKITTI2SemanticSTF)","paper":"/paper/rethinking-data-augmentation-for-robust-lidar","metrics":{"Mean IoU":"39.5"},"code_links":[{"title":"engineerjpark/lidarweather","url":"https://github.com/engineerjpark/lidarweather"},{"title":"engineerJPark/LiDAR-DataAug4Weather","url":"https://github.com/engineerJPark/LiDAR-DataAug4Weather"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/rethinking-data-augmentation-for-robust-lidar","title":"Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather","date":"2024-07-02","rows_on_this_dataset":2,"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."}