| --- |
| 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} |
| } |
| ``` |
|
|
