{"url":"/dataset/semanticposs","name":"SemanticPOSS","full_name":null,"description_markdown":"The SemanticPOSS dataset for 3D semantic segmentation contains 2988 various and complicated LiDAR scans with large quantity of dynamic instances. The data is collected in Peking University and uses the same data format as SemanticKITTI.\r\n\r\nSource: [SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances](/paper/semanticposs-a-point-cloud-dataset-with-large)","description_withheld":null,"homepage":"http://www.poss.pku.edu.cn/semanticposs.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/semanticposs-a-point-cloud-dataset-with-large","title":"SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances","first_author":"Yancheng Pan","url":null},"license":null,"modalities":[{"name":"3D","url":"/datasets/modality/3d"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"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":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"},{"name":"Weakly supervised Semantic Segmentation","url":"/task/weakly-supervised-semantic-segmentation-1","datasets_with_task":"/datasets/task/weakly-supervised-semantic-segmentation-1"}],"languages":[],"variants":["SemanticPOSS"],"data_loaders":[],"num_papers_in_archive":71,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-semanticposs","task":"Semantic Segmentation","dataset_variant":"SemanticPOSS","rows":1,"metrics":["Mean IoU"],"first_row_in_archive_order":{"model":"TFNet","paper":"/paper/tfnet-exploiting-temporal-cues-for-fast-and","metrics":{"Mean IoU":"51.9"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/tfnet-exploiting-temporal-cues-for-fast-and","title":"TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation","date":"2023-09-14","rows_on_this_dataset":1,"code_links":0,"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."}