Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). WHU-Urban3D: An urban scene LiDAR point cloud dataset for semantic instance segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/whu-urban3d-an-urban-scene-lidar-point-cloud-dataset-for-semantic-instance-segmentation
MLA“WHU-Urban3D: An urban scene LiDAR point cloud dataset for semantic instance segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/whu-urban3d-an-urban-scene-lidar-point-cloud-dataset-for-semantic-instance-segmentation.
BibTeX@misc{4ortxyz_whu-urban3d-an-urban-scene-lidar-point-cloud-dataset-for-semantic-instance-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{WHU-Urban3D: An urban scene LiDAR point cloud dataset for semantic instance segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/whu-urban3d-an-urban-scene-lidar-point-cloud-dataset-for-semantic-instance-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): WHU-Urban3D: An urban scene LiDAR point cloud dataset for semantic instance segmentation — https://4ort.xyz/entity/whu-urban3d-an-urban-scene-lidar-point-cloud-dataset-for-semantic-instance-segmentation (retrieved 2026-05-24)
