| --- |
| license: cc-by-nc-4.0 |
| pretty_name: IDSet-3D |
| tags: |
| - 3d-reconstruction |
| - depth-estimation |
| - benchmark |
| - evaluation |
| --- |
| |
| # IDSet-3D data |
|
|
| Benchmark labels, ID-Head features, model predictions, and the outputs of the registered formal run of IDSet-3D, an identified-set evaluation toolkit for 3D reconstruction. The evaluator, the scripts, and the documentation are in the [IDSet-3D GitHub repository](https://github.com/tonggeshuaiqiwudizuijunlang/IDSet3D), whose `DOWNLOADS.md` also lists the upstream data, weights, and code with the versions used. |
|
|
| The folders mirror the layout of the repository root, which the scripts use as their data root. Download into a clone of the GitHub repository, all at once or by folder: |
|
|
| ```bash |
| pip install -U huggingface_hub |
| python - <<'EOF' |
| from huggingface_hub import snapshot_download |
| skip = ["README.md", ".gitattributes"] # keep the GitHub repository's README.md and .gitattributes |
| snapshot_download("wolfkingttf/IDSet3D", repo_type="dataset", local_dir=".", ignore_patterns=skip) |
| EOF |
| sha256sum -c checksums/IDSet3D.sha256 --ignore-missing |
| ``` |
|
|
| Skipping `README.md` and `.gitattributes` keeps the files of the GitHub repository from being replaced. To fetch only some folders, add `allow_patterns=["predictions/*", "checksums/*"]` to the call. |
|
|
| ## Contents |
|
|
| Ray files cover the 90×160 evaluation grid of one query view (14,400 rays); those in `pool/dev_150m/` use a 180×320 grid. Block 1 holds 12 windows: the 10 test-1 windows and the 2 development windows. |
|
|
| | Folder | Files | Size | Content | |
| |---|---|---|---| |
| | `eval/eval-v1.0/oracle/matrixcity/` | 1,046 | 208 MB | ray labels of the 12 block-1 windows for every condition: upper bound `b`, uncertain length `u`, range `L`, tolerance `tau`, endpoint state (V/H/N/X), edge flag, and true first-hit distance `d_gt` | |
| | `pool/*.json` | 9 | 2.4 MB | windows and query views of the training, validation, and test-2 splits, with their provenance | |
| | `pool/query_v2/` | 2,054 | 395 MB | ray labels of the 1,562 training, 368 validation, and 123 test-2 query views, and the query selection | |
| | `pool/c76_labels_h_native/` | 1,930 | 365 MB | ID-Head training targets of the training and validation queries: answered rays, endpoint states, front and back violations | |
| | `pool/features/VGGT-1B/` | 1,930 | 1.05 GB | the 18 per-ray ID-Head features computed from VGGT-1B, with the readout range and confidence, for the training and validation queries | |
| | `predictions/` | 14,930 | 687 MB | predictions of the eight models on the 12 block-1 windows under all registered conditions (`predictions/<model>/matrixcity/<window>/<condition>/<query>__run0.npz`: range in meters and confidence per ray) | |
| | `eval/c83_formal/`, `eval/c83_method_work/`, `eval/c86_*/` | 3,003 | 427 MB | outputs of the registered formal run: test-2 labels and predictions of all models; ID-Head features, labels, and scores on both test sets; checksums and logs; the independent recomputation | |
| | `eval/v1.0/full/` | 54 | 18 MB | test-1 benchmark results (read by `release/reproduce_main_tables.sh`) | |
| | `pool/raw/`, `eval/c83_formal/test2/raw/` | 264 | 6.0 GB | raw model outputs on the input views (point maps, confidence, cameras), for recomputing features or predictions without a GPU | |
| | `pool/dev_150m/`, `dev_native/` | 264 | 106 MB | labels, features, and VGGT-1B raw outputs of the two development windows, on a 180×320 grid (`pool/dev_150m/`) and on the 90×160 grid (`dev_native/`) | |
|
|
| Not included: the MatrixCity images and depth maps (download them from the official release; the formal-run folders `frames/` and `reselect_depth/` were copies of them), the model weights, and the predictions on the Asset Inspection scenes, which enter no reported result. A void 3DGS run with random initialization is excluded, as in the GitHub repository. |
|
|
| ## Checksums |
|
|
| `checksums/IDSet3D.sha256` covers every file. The GitHub repository records the same SHA256 for the predictions (`release/predictions_manifest.json`, paths relative to `predictions/`) and for the formal-run outputs (`release/results_v2_manifest.json`, absolute paths under `/root/gpufree-data/IDSet3D/`). Three result files of `eval/v1.0/full/` differ from their frozen copies in one note each, and one of them in its file name: `gtpose_secondary.json`, `robust_control_v2.json`, and `twin_m5_v2.json` (see `release/RELEASE_EDITS.md` in the GitHub repository). No value was changed. |
|
|
| ## License |
|
|
| CC BY-NC 4.0. The files are derived from MatrixCity, which is released under CC BY-NC 4.0. The predictions and raw outputs were produced by the models listed in `DOWNLOADS.md` of the GitHub repository, and the terms of those models may also apply. |
|
|
