mlsanityData to 14 Oct 2026

ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation

arXiv 2404.10699 ↗First posted 16 Apr 2024cs.CVcited by 10

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Abstract (arXiv)

We introduce ECLAIR (Extended Classification of Lidar for AI Recognition), a new outdoor large-scale aerial LiDAR dataset designed specifically for advancing research in point cloud semantic segmentation. As the most extensive and diverse collection of its kind to date, the dataset covers a total area of 10km2 with close to 600 million points and features eleven distinct object categories. To guarantee the dataset's quality and utility, we have thoroughly curated the point labels through an internal team of experts, ensuring accuracy and consistency in semantic labeling. The dataset is engineered to move forward the fields of 3D urban modeling, scene understanding, and utility infrastructure management by presenting new challenges and potential applications. As a benchmark, we report qualitative and quantitative analysis of a voxel-based point cloud segmentation approach based on the Minkowski Engine.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 31 of its 44 references that are in the map. First posted on arXiv 16 Apr 2024.

Builds on

31 of 44 references.

References · 31

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19 more
  1. 2022Point Transformer V2: Grouped Vector Attention and Partition-based Poolingcited by 388
  2. 2019ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed datacited by 261
  3. 2022Language-Grounded Indoor 3D Semantic Segmentation in the Wildcited by 246
  4. 2020One Thousand and One Hours: Self-driving Motion Prediction Datasetcited by 240
  5. 2017Semantic3D.net: A new Large-scale Point Cloud Classification Benchmarkcited by 158
  6. 2020Seesaw Loss for Long-Tailed Instance Segmentationcited by 146
  7. 2020SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instancescited by 123
  8. 2023Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Trainingcited by 86
  9. 2022GIMO: Gaze-Informed Human Motion Prediction in Contextcited by 81
  10. 2020Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challengescited by 80
  11. 2020Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadwayscited by 77
  12. 2020DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentationcited by 66
  13. 2017Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classificationcited by 65
  14. 2019A*3D Dataset: Towards Autonomous Driving in Challenging Environmentscited by 65
  15. 2023Efficient 3D Semantic Segmentation with Superpoint Transformercited by 57
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  17. 2019DublinCity: Annotated LiDAR Point Cloud and its Applicationscited by 31
  18. 2020Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scenecited by 27
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 6.

10 papers.

  1. 2025ClaraVid: A Holistic Scene Reconstruction Benchmark From Aerial Perspective With Delentropy-Based Complexity Profilingcited by 4
  2. 2025LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectivescited by 4
  3. 2025CitySeg: A 3D Open Vocabulary Semantic Segmentation Foundation Model in City-scale Scenarioscited by 2
  4. 2025Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud Scenescited by 1
  5. 2026GridNet-HD: A High-Resolution Multi-Modal Dataset for LiDAR-Image Fusion on Power Line Infrastructurecited by 0
  6. 2026Benchmarking Deep Learning Models for Aerial LiDAR Point Cloud Semantic Segmentation under Real Acquisition Conditions: A Case Study in Navarrecited by 0
  7. 2026Spatially-Aware Evaluation Framework for Aerial LiDAR Point Cloud Semantic Segmentation: Distance-Based Metrics on Challenging Regionscited by 0
  8. 2026TowerDataset: A Heterogeneous Benchmark for Transmission Corridor Segmentation with a Global-Local Fusion Frameworkcited by 0
  9. 2026G2ARD-GS: Geometry-Guided Anchor-Regularized Gaussian Splatting Distillationcited by 0
  10. 2026Polis: 3D Self-Supervision at City Scalecited by 0