{"url":"/dataset/scribblekitti","name":"ScribbleKITTI","full_name":null,"description_markdown":"ScribbleKITTI is a scribble-annotated dataset for LiDAR semantic segmentation.","description_withheld":null,"homepage":"https://github.com/ouenal/scribblekitti","introduced_date":"2022-06-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/scribble-supervised-lidar-semantic","title":"Scribble-Supervised LiDAR Semantic Segmentation","first_author":"Ozan Unal","url":null},"license":null,"modalities":[],"tasks":[{"name":"Semi-Supervised Semantic Segmentation","url":"/task/semi-supervised-semantic-segmentation","datasets_with_task":"/datasets/task/semi-supervised-semantic-segmentation"},{"name":"3D Semantic Segmentation","url":"/task/3d-semantic-segmentation","datasets_with_task":"/datasets/task/3d-semantic-segmentation"},{"name":"Weakly-Supervised Semantic Segmentation","url":"/task/weakly-supervised-semantic-segmentation","datasets_with_task":"/datasets/task/weakly-supervised-semantic-segmentation"},{"name":"LIDAR Semantic Segmentation","url":"/task/lidar-semantic-segmentation","datasets_with_task":"/datasets/task/lidar-semantic-segmentation"},{"name":"Weakly Supervised 3D Point Cloud Segmentation","url":"/task/weakly-supervised-3d-point-cloud-segmentation","datasets_with_task":"/datasets/task/weakly-supervised-3d-point-cloud-segmentation"}],"languages":[],"variants":["ScribbleKITTI"],"data_loaders":[],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semi-supervised-semantic-segmentation-on-23","task":"Semi-Supervised Semantic Segmentation","dataset_variant":"ScribbleKITTI","rows":9,"metrics":["mIoU (1% Labels)","mIoU (10% Labels)","mIoU (20% Labels)","mIoU (50% Labels)"],"first_row_in_archive_order":{"model":"LaserMix (Voxel)","paper":"/paper/lasermix-for-semi-supervised-lidar-semantic","metrics":{"mIoU (1% Labels)":"44.2","mIoU (10% Labels)":"53.7","mIoU (20% Labels)":"55.1","mIoU (50% Labels)":"56.8"},"code_links":[{"title":"ldkong1205/LaserMix","url":"https://github.com/ldkong1205/LaserMix"},{"title":"yuan-zm/dgt-st","url":"https://github.com/yuan-zm/dgt-st"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/3d-semantic-segmentation-on-scribblekitti","task":"3D Semantic Segmentation","dataset_variant":"ScribbleKITTI","rows":6,"metrics":["mIoU","mIoU-1%"],"first_row_in_archive_order":{"model":"IGNet","paper":"/paper/2d-feature-distillation-for-weakly-and-semi","metrics":{"mIoU":"62.0"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/2d-feature-distillation-for-weakly-and-semi","title":"2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation","date":"2023-11-27","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/less-is-more-reducing-task-and-model","title":"Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation","date":"2023-03-20","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; 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not a correctness claim."}},{"paper":"/paper/cylindrical-and-asymmetrical-3d-convolution","title":"Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation","date":"2020-11-19","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/consistency-regularization-and-cutmix-for","title":"Semi-supervised semantic segmentation needs strong, varied perturbations","date":"2019-06-05","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":0,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/4d-spatio-temporal-convnets-minkowski","title":"4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks","date":"2019-04-18","rows_on_this_dataset":1,"code_links":8,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/unsupervised-domain-adaptation-for-semantic","title":"Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training","date":"2018-09-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mean-teachers-are-better-role-models-weight","title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","date":"2017-03-06","rows_on_this_dataset":2,"code_links":8,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":6,"samples_unverified":0,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":5,"samples_harvested":54,"samples_ran":29,"samples_unverified":25,"pointer_only_for_licence":36,"papers_with_no_sample_that_ran":2,"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."}