Datasets › ULS labeled data
ULS labeled data (UVA laser scanning labelled las data over tropical moist forest classified as leaf or wood points)
UAV Laser Scanning data collected over neotropical forest (Paracou French Guiana). Four flights conducted over one ha plot in 2021 and 2022.
Leaf wood labels were transferred from contemporaneous (2021) TLS acquisition, for which segmentation was done using LeWoS and onscreen post correction.
Predicted values using SOUL model (see ref below) for a single UAV-LS acquisition are provided as separate file.
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 | ||||
|---|---|---|---|---|---|---|
| LIDAR Semantic Segmentation | ULS labeled data | SOUL Binary Accuracy 0.757 | Semantic segmentation of sparse irregular point clouds... | na1an/phd_mission | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper 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 1. 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 | |||
|---|---|---|---|---|
| Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination | 1 | 1 | 26 May 2023 | ran 2 of 3 samples (1 unverified; 3 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
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
Variants archive 2025-07-28
- ULS labeled data
1 variant name, as the archive lists them.
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