AR-X/SynLiDAR
SynLiDAR Dataset Overview SynLiDAR is a synthetic LiDAR dataset designed for autonomous driving research.It contains high-quality simulated point cloud sequences and corresponding semantic annotations. The dataset provides two variants: FullDataset — complete version for large-scale experiments (branch: full) SubDataset — smaller version suitable for prototyping, debugging, and benchmarking (branch: sub) This HuggingFace repository uses branches to separate… See the full description on the dataset page: https://huggingface.co/datasets/AR-X/SynLiDAR.
| Author / organization | AR-X |
|---|---|
| License (as declared) | mit |
| Downloads | 511 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 27 November 2025 |
| Last updated at source | 3 December 2025 |
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511 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: SynLiDAR Dataset Overview SynLiDAR is a synthetic LiDAR dataset designed for autonomous driving research.It contains high-quality simulated point cloud sequences and corresponding semantic annotations. The dataset provides two variants: Ful → SynLiDAR Dataset Overview SynLiDAR is a synthetic LiDAR dataset designed for autonomous driving research.It contains high-quality simulated point cloud sequences and corresponding semantic annotations. The dataset provides two variants: Ful
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