ausmlab/yuto-semantic
YUTO: A Large Scale Aerial LiDAR Data Set for Semantic Segmentation Overview YUTO Semantic is a multi-mission large-scale aerial LiDAR dataset specifically designed for 3D point cloud semantic segmentation. The dataset comprises approximately 738 million points, covering an area of 9.46 square kilometers of York University Campus in Toronto, Ontario Canada. Each point in the dataset is annotated with one of nine semantic classes. At this time, we are releasing… See the full description on the dataset page: https://huggingface.co/datasets/ausmlab/yuto-semantic.
| Author / organization | ausmlab |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 141 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 26 September 2024 |
| Last updated at source | 4 October 2024 |
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- 16 Oct 2026 Description: YUTO: A Large Scale Aerial LiDAR Data Set for Semantic Segmentation Overview YUTO Semantic is a multi-mission large-scale aerial LiDAR dataset specifically designed for 3D point cloud semantic segmentation. The dataset comprises approximate → YUTO: A Large Scale Aerial LiDAR Data Set for Semantic Segmentation Overview YUTO Semantic is a multi-mission large-scale aerial LiDAR dataset specifically designed for 3D point cloud semantic segmentation. The dataset comprises approximate
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.