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| license: cc-by-4.0 | |
| pretty_name: Amazon Berkeley Objects | |
| tags: | |
| - computer-vision | |
| - image-retrieval | |
| - product-catalog | |
| - hierarchy | |
| - 3d | |
| configs: | |
| - config_name: listings | |
| data_files: | |
| - split: train | |
| path: data/listings/*.parquet | |
| - config_name: images | |
| data_files: | |
| - split: train | |
| path: data/images/*.parquet | |
| - config_name: spins | |
| data_files: | |
| - split: train | |
| path: data/spins/*.parquet | |
| - config_name: 3dmodels | |
| data_files: | |
| - split: train | |
| path: data/3dmodels/*.parquet | |
| # Amazon Berkeley Objects | |
| This is a Hugging Face metadata mirror of the Amazon Berkeley Objects dataset | |
| for reproducible research and HyperView demos. The original dataset is provided | |
| by Amazon.com and UC Berkeley. | |
| This mirror stores metadata tables and official S3 asset URLs. It does not | |
| duplicate catalog images, turntable images, or 3D models as binary files. | |
| ## Load | |
| ```python | |
| from datasets import load_dataset | |
| listings = load_dataset("hyper3labs/amazon-berkeley-objects", "listings", split="train") | |
| images = load_dataset("hyper3labs/amazon-berkeley-objects", "images", split="train") | |
| spins = load_dataset("hyper3labs/amazon-berkeley-objects", "spins", split="train") | |
| models = load_dataset("hyper3labs/amazon-berkeley-objects", "3dmodels", split="train") | |
| ``` | |
| ## Tables | |
| - `listings`: all product listings with normalized hierarchy columns and | |
| `raw_listing_json` preserving the original listing object. | |
| - `images`: full image metadata with official small and original image URLs. | |
| - `spins`: full spin / 360-degree view metadata with official image URLs. | |
| - `3dmodels`: full 3D model metadata with official GLB URLs. | |
| ## Added convenience columns | |
| The `listings` table adds: | |
| - `title` | |
| - `brand` | |
| - `color` | |
| - `style` | |
| - `product_type` | |
| - `product_type_readable` | |
| - `node_paths` | |
| - `department` | |
| - `hierarchy_path` | |
| - `main_image_path` | |
| - `main_image_url` | |
| ## License | |
| Amazon Berkeley Objects is licensed under Creative Commons Attribution 4.0 | |
| International (CC BY 4.0). | |
| Users must read and comply with the original ABO license and attribution | |
| requirements before using the data. | |
| Official dataset page: | |
| https://amazon-berkeley-objects.s3.amazonaws.com/index.html | |
| AWS Open Data Registry: | |
| https://registry.opendata.aws/amazon-berkeley-objects/ | |
| ## 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, Thomas Dideriksen, Kenan Deng, Himanshu Arora, Jasmine | |
| Collins, and Jitendra Malik, with the complete author list in the ABO paper and | |
| official documentation. | |