Datasets › H3D
H3D (Honda Research Institute 3D)
The H3D is a large scale full-surround 3D multi-object detection and tracking dataset. It is gathered from HDD dataset, a large scale naturalistic driving dataset collected in San Francisco Bay Area. H3D consists of following features:
- Full 360 degree LiDAR dataset (dense pointcloud from Velodyne-64)
- 160 crowded and highly interactive traffic scenes
- 1,071,302 3D bounding box labels
- 8 common classes of traffic participants (Manually annotated every 2Hz and linearly propagated for 10 Hz data)
- Benchmarked on state-of-the art algorithms for 3D only detection and tracking algorithms.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 39 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- H3D
1 variant name, as the archive lists them.
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