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# Benchmark datasets
Preprocessed, canonically-laid-out copies of the datasets used by this repo's
`BenchmarkEvaluator` (see `docs/benchmark/evaluator_quickstart.md`), packaged for
direct download instead of re-running every `scripts/download/` +
`scripts/preprocess/` step yourself.
**Layout:** each dataset scene is stored as one uncompressed `<Task>/<dataset>/<scene>.tar` (the raw
tree is ~900k files). After downloading, extract everything in place with the bundled script:
```bash
huggingface-cli download Bluefish2333/benchmark --repo-type dataset --local-dir /path/to/benchmark_root
python /path/to/benchmark_root/extract_benchmark_archives.py /path/to/benchmark_root --delete
```
**Every dataset folder below is redistributed under its own original source's
license -- see that folder's own `LICENSE_NOTICE.md`. This repository's own
license does not override those terms.**
## Included datasets
| Task | Dataset | Scenes | License status | Source(s) | Data |
|---|---|---|---|---|---|
| MonoDepth | marigold | 0 | `unconfirmed` | NYU Depth V2, KITTI (depth selection / raw data), ETH3D, DIODE, ScanNet | packaged here (without scannet; see `LICENSE_NOTICE.md`) |
| MonoDepth | aerialmetric | 0 | `unconfirmed` | AerialMetric-Decoupled, AerialMetric-Oblique (test split), AerialMetric-Wild | packaged here |
| MonoDepth | hammer | 0 | `safe` | HAMMER (Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression) | packaged here |
| MonoDepth | ibims1 | 0 | `safe` | iBims-1 (independent Benchmark images and matched scans, version 1) | packaged here |
| MonoDepth | spring | 0 | `safe` | Spring | packaged here |
| MonoDepth | synth4k | 0 | `unconfirmed` | Synth4K (InfiniDepth game-captured 4K benchmark) | packaged here |
| VideoDepth | bonn | 0 | `safe` | Bonn RGB-D Dynamic Dataset | packaged here |
| VideoDepth | dycheck | 0 | `safe` | DyCheck (iPhone dataset, MegaSaM-distributed evaluation archive) | packaged here |
| VideoDepth | kitti | 0 | `safe` | KITTI (depth selection / raw data) | packaged here |
| SfM | eth3d | 0 | `safe` | ETH3D | packaged here |
| SfM | tanks_and_temples | 0 | `safe` | Tanks and Temples | packaged here |
| MVRecon | 7scenes | 0 | `safe` | Microsoft 7-Scenes | packaged here |
| MVRecon | eth3d | 0 | `safe` | ETH3D | packaged here |
| MVRecon | tanks_and_temples | 0 | `safe` | Tanks and Temples | packaged here |
| MVRecon | scannetpp | 0 | `safe` | ScanNet++ | packaged here |
| MVRecon | hiroom | 0 | `safe` | HiRoom (via DA3-BENCH) | packaged here |
| SLAM | 7scenes | 0 | `safe` | Microsoft 7-Scenes | packaged here |
| SfM | scannetpp | 0 | `safe` | ScanNet++ | packaged here |
| SfM | hiroom | 0 | `safe` | HiRoom (via DA3-BENCH) | packaged here |
| MVRecon | nrgbd | 0 | `safe` | Neural RGB-D Surface Reconstruction dataset | packaged here |
| SLAM | tum_dynamics | 0 | `safe` | TUM RGB-D SLAM Dataset (Dynamic Objects category) | packaged here |
| SLAM | oxford_spires | 0 | `safe` | The Oxford Spires Dataset | packaged here |
| SLAM | vbr | 0 | `unconfirmed` | VBR: A Vision Benchmark in Rome | packaged here |
| SLAM | kitti_odometry | 0 | `safe` | KITTI Odometry | packaged here |
| MonoDepth | spatialarena | 19 | `safe` | SpatialArena (the benchmark's own handheld 3-camera LiDAR rig captures) | packaged here |
| VideoDepth | spatialarena | 15 | `safe` | SpatialArena (the benchmark's own handheld 3-camera LiDAR rig captures) | packaged here |
| MVRecon | spatialarena | 6 | `safe` | SpatialArena (the benchmark's own handheld 3-camera LiDAR rig captures) | packaged here |
| SfM | spatialarena | 7 | `safe` | SpatialArena (the benchmark's own handheld 3-camera LiDAR rig captures) | packaged here |
| SLAM | spatialarena | 8 | `safe` | SpatialArena (the benchmark's own handheld 3-camera LiDAR rig captures) | packaged here |
## Excluded this run
| Task | Dataset | Reason |
|---|---|---|
| VideoDepth | sintel | not present on disk |
| SfM | imc | not present on disk |
| MVRecon | dtu | not present on disk |
| SfM | dtu | not present on disk |
| SfM | texturepoorsfm | not present on disk |