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| license: cc-by-4.0 | |
| pretty_name: Amazon Berkeley Objects (ABO) | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - image-classification | |
| - image-to-3d | |
| tags: | |
| - amazon | |
| - products | |
| - 3d | |
| - images | |
| - ecommerce | |
| - abo | |
| configs: | |
| - config_name: mvr | |
| data_files: | |
| - split: train | |
| path: mvr/train-*.parquet | |
| - config_name: listings | |
| data_files: | |
| - split: train | |
| path: listings/train-*.parquet | |
| - config_name: part_labels | |
| data_files: | |
| - split: train | |
| path: part_labels/train-*.parquet | |
| - config_name: images_small | |
| data_files: | |
| - split: train | |
| path: images_small/train-*.parquet | |
| - config_name: spins | |
| data_files: | |
| - split: train | |
| path: spins/train-*.parquet | |
| - config_name: images_original | |
| data_files: | |
| - split: train | |
| path: images_original/train-*.parquet | |
| - config_name: models_3d | |
| data_files: | |
| - split: train | |
| path: models_3d/train-*.parquet | |
| - config_name: benchmark_material | |
| data_files: | |
| - split: train | |
| path: benchmark_material/train-*.parquet | |
| - config_name: objects | |
| default: true | |
| data_files: | |
| - split: train | |
| path: objects/train-*.parquet | |
| # Amazon Berkeley Objects (ABO) | |
| A Hugging Face packaging of the **Amazon Berkeley Objects (ABO)** dataset. The | |
| data content is the official CC BY 4.0 release from | |
| <https://amazon-berkeley-objects.s3.amazonaws.com/index.html>. This mirror | |
| changes only the packaging: files are grouped into typed Parquet shards, and | |
| **every original media file is preserved byte-for-byte and never transcoded**. | |
| Images use the `datasets` `Image()` feature, 3D product models use the native | |
| `Mesh()` feature (original GLB bytes), and part-label meshes are kept in their | |
| original `.obj` format — so the Hugging Face Dataset Viewer and `datasets` | |
| streaming APIs can consume them. | |
| ## Configs | |
| | Config | Row unit | Main fields | | |
| | --- | --- | --- | | |
| | `objects` (default) | One product | Listing summary, foreign keys, modality flags | | |
| | `listings` | One product listing | Typed fields plus lossless `raw_listing_json` | | |
| | `images_small` | One catalog image | 256 px `Image()`, `image_id`, dimensions, path | | |
| | `images_original` | One catalog image | Original-resolution `Image()`, dimensions, path | | |
| | `spins` | One turntable frame | `Image()`, `spin_id`, `image_id`, `azimuth` | | |
| | `models_3d` | One 3D product | Native `Mesh()` GLB and geometry/material stats | | |
| | `part_labels` | One part file | Original `.obj` part-mesh bytes (verbatim) or `relation.json`; keyed by `item_id`/`part_id` | | |
| | `benchmark_material` | One model-viewpoint file | Render/material `Image()` or EXR `blob`, `kind` | | |
| | `mvr` | One retrieval example | Official CVPR22 multi-view-retrieval split columns | | |
| `models_3d` uses the native `Mesh()` feature (requires a recent `datasets` | |
| release with mesh support). Part-label meshes are stored in their original | |
| `.obj` format under `part_labels`, alongside each item's `relation.json`. Note: | |
| the Hugging Face **Dataset Viewer does not yet render the `Mesh` feature**; 3D | |
| models can still be previewed via the Hub's per-file viewer and loaded through | |
| `datasets`. | |
| ## Licensing | |
| This work is licensed under the **Creative Commons Attribution 4.0 International | |
| Public License (CC BY 4.0)**. A verbatim copy is provided in | |
| [`LICENSE-CC-BY-4.0.txt`](./LICENSE-CC-BY-4.0.txt); see also | |
| <https://creativecommons.org/licenses/by/4.0/>. | |
| Under the following terms: | |
| - **Attribution** — You must give appropriate credit, provide a link to the | |
| license, and indicate if changes were made. You may do so in any reasonable | |
| manner, but not in any way that suggests the licensor endorses you or your use. | |
| - **No additional restrictions** — You may not apply legal terms or | |
| technological measures that legally restrict others from doing anything the | |
| license permits. | |
| **Changes made:** the original release was repackaged into typed Parquet shards | |
| (`Image()`/`Mesh()` features) for the Hugging Face Dataset Viewer and | |
| `datasets`. No underlying data content was altered. | |
| > Note: the source S3 bucket root also contains a `LICENSE-CC-BY-NC-4.0.txt` | |
| > file, but the official ABO download page licenses the released archives under | |
| > **CC BY 4.0**, which is the license applied and mirrored here. | |
| ## Attribution | |
| Credit for the data, including all images and 3D models, must be given to: | |
| > Amazon.com | |
| Credit for building the dataset, archives and benchmark sets must be given to: | |
| > Matthieu Guillaumin (Amazon.com), Thomas Dideriksen (Amazon.com), | |
| > Kenan Deng (Amazon.com), Himanshu Arora (Amazon.com), Arnab Dhua (Amazon.com), | |
| > Xi (Brian) Zhang (Amazon.com), Tomas Yago-Vicente (Amazon.com), | |
| > Jasmine Collins (UC Berkeley), Shubham Goel (UC Berkeley), | |
| > Jitendra Malik (UC Berkeley). | |
| No endorsement by Amazon.com or UC Berkeley of this mirror is claimed or implied. | |
| ## Citation | |
| ```bibtex | |
| @article{collins2022abo, | |
| title={ABO: Dataset and Benchmarks for Real-World 3D Object Understanding}, | |
| author={Collins, Jasmine and Goel, Shubham and Deng, Kenan and Luthra, Achleshwar and | |
| Xu, Leon and Gundogdu, Erhan and Zhang, Xi and Yago Vicente, Tomas F and | |
| Dideriksen, Thomas and Arora, Himanshu and Guillaumin, Matthieu and | |
| Malik, Jitendra}, | |
| journal={CVPR}, | |
| year={2022} | |
| } | |
| ``` | |