Datasets › SensatUrban
SensatUrban
The SensatUrbat dataset is an urban-scale photogrammetric point cloud dataset with nearly three billion richly annotated points, which is five times the number of labeled points than the existing largest point cloud dataset. The dataset consists of large areas from two UK cities, covering about 6 km^2 of the city landscape. In the dataset, each 3D point is labeled as one of 13 semantic classes, such as ground, vegetation, car, etc..
Source: https://github.com/QingyongHu/SensatUrban Image Source: https://github.com/QingyongHu/SensatUrban
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| 3D Semantic Segmentation | SensatUrban | LCPFormer mIoU 63.4 | LCPFormer: Towards Effective 3D Point Cloud Analysis via... | zhh6425/LocalContextPropagation | 8 | Compare |
Papers archive 2025-07-28
8 shown of 8 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 28. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene | 1 | 1 | 30 Jan 2023 | not harvested |
| LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers | 1 | 1 | 23 Oct 2022 | not harvested |
| Efficient Urban-scale Point Clouds Segmentation with BEV Projection | 1 | 1 | 19 Sep 2021 | not harvested |
| SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation | 1 | 1 | 19 Jun 2021 | not harvested |
| KPConv: Flexible and Deformable Convolution for Point Clouds | 10 | 1 | 18 Apr 2019 | ran 5 of 12 samples (7 unverified; 3 pointer-only for licence) |
| Tangent Convolutions for Dense Prediction in 3D | 1 | 1 | 6 Jul 2018 | not harvested |
| 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks | 6 | 1 | 28 Nov 2017 | ran 3 of 3 samples (0 unverified; 3 pointer-only for licence) |
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs | 2 | 1 | 27 Nov 2017 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SensatUrban
1 variant name, as the archive lists them.
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