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  ---
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  license: cc-by-nc-4.0
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  pretty_name: imagenet3d
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- extra_gated_fields:
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- Name: text
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- Affiliation: text
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  ---
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  ## ImageNet3D
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  Refer to [github.com/wufeim/imagenet3d](https://github.com/wufeim/imagenet3d) for the full documentation and sample preprocessing code for ImageNet3D.
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  ### Download Data
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- Directly download from the HuggingFace WebUI, or on a server, run
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- ```py
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- from huggingface_hub import hf_hub_download
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- local_path = '/your/local/directory'
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- hf_hub_download(repo_id='ccvl/ImageNet3D', repo_type='dataset', filename='imagenet3d_0409.zip', local_dir=local_path, local_dir_use_symlinks=False)
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  ```
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  ### Example Usage
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  ```py
 
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  ---
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  license: cc-by-nc-4.0
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  pretty_name: imagenet3d
 
 
 
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  ---
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  ## ImageNet3D
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+ We present **ImageNet3D**, a large dataset for general-purpose object-level 3D understanding. ImageNet3D augments 200 categories from the ImageNet dataset with 2D bounding box, 3D pose, 3D location annotations, and image captions interleaved with 3D information.
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+
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  Refer to [github.com/wufeim/imagenet3d](https://github.com/wufeim/imagenet3d) for the full documentation and sample preprocessing code for ImageNet3D.
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  ### Download Data
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+ **ImageNet3D-v1.0:** Directly download from the HuggingFace WebUI, or on a server, run
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+ ```sh
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+ wget https://huggingface.co/datasets/ccvl/ImageNet3D/resolve/main/imagenet3d_v1.zip
 
 
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  ```
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+ **Future updates:** We are working on annotating more object categories and improving the quality of current annotations.
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+ The next update is planned to be released by the end of Jan 2025. Please let us know if you have any suggestions for future updates.
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+
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  ### Example Usage
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  ```py