--- license: cc-by-4.0 pretty_name: Google Scanned Objects (WebDataset) tags: - 3d - mesh - glb - webdataset - google-scanned-objects - trellis task_categories: - image-to-3d - text-to-3d size_categories: - 1K GLB is a recognized mesh extension in the `datasets` WebDataset builder, so > `glb` is loaded as a `Mesh` feature and rendered in the dataset viewer. > A recent `datasets` version is required for the `Mesh` feature. ## Per-sample fields | field | type | description | |-------|------|-------------| | `obj` | bytes | original `model.obj` mesh | | `mtl` | bytes | original `model.mtl` material | | `texture.png` | Image | diffuse texture | | `glb` | Mesh | normalized, self-contained GLB (see below) | | `thumbnail_0.jpg` .. `thumbnail_4.jpg` | Image | 5 render thumbnails | | `json` | dict | metadata + `glb_processing` stats | The `json` field contains: `object_id`, `name`, `description`, `version`, `category`, `annotations` (e.g. `brand`, `gtin`, `sku`), `author`, `license`, `license_id`, `license_url`, `copyright`, `source`, `num_thumbnails_original`, and `glb_processing`. ## GLB normalization (trimesh) Produced deterministically per object with `trimesh==4.12.2`: 1. Copy `materials/textures/texture.png` next to the OBJ so the MTL's `map_Kd texture.png` resolves and the diffuse map binds. 2. `trimesh.load(obj, process=False, force="mesh")` — preserves UVs, flattens to a single mesh. 3. Translate the axis-aligned bounding-box center to the origin. 4. Uniformly scale so the longest AABB edge is `1.0` (fits a unit cube). 5. Preserve UVs (no vertex merge); recompute normals only if missing. 6. Export a self-contained `.glb` with the texture embedded. Every object's exact transform (`applied_translation`, `applied_scale`), mesh stats (`vertices`, `faces`, `is_watertight`, `surface_area_normalized`, `orig_extents`, `final_extents`, `texture_size`, `glb_size_bytes`) and any `warnings` are recorded in `json["glb_processing"]` and aggregated in [`stats/processing_log.jsonl`](./stats/processing_log.jsonl). ## Excluded objects This dataset contains only the **1,030 objects authored by Google** (Fuel owner `GoogleResearch`) in the "Scanned Objects by Google Research" collection. That Fuel collection's listing also includes 16 models owned by other authors; they are **intentionally excluded** because they are not Google scans, use a different file structure (`.dae`/`.obj`, optional textures, 2-6 thumbnails), and carry different licenses (CC-BY-4.0 and CC0-1.0): - `OpenRobotics` (13): Bed, Cardboard box, Door handle, Fridge, Hinged door, KitchenCountertop, LampAndStand, Plastic Cup, Shower, SquareShelf, Standard Toilet, Vanity, WhiteCabinet - `LeDSantos` (3): ada_lovelace_poster, garage_door, toilet_paper These appear as `status: "failed"` rows in [`stats/processing_log.jsonl`](./stats/processing_log.jsonl) (the raw downloader requested them under the wrong owner, yielding invalid archives). ## License & attribution This dataset is a repackaging of the Google Scanned Objects dataset by Google LLC, licensed under [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/) (`cc-by-4.0`). > "Google Scanned Objects", Copyright 2020 Google LLC, licensed under CC BY 4.0. You must give appropriate credit when using this data. See the `LICENSE` file and each object's `json["copyright"]` / `json["license"]` fields.