Add Common Objects in 3D (CO3D)
{'login': 'nateraw', 'id': 32437151, 'node_id': 'MDQ6VXNlcjMyNDM3MTUx', 'avatar_url': 'https://avatars.githubusercontent.com/u/32437151?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/nateraw', 'html_url': 'https://github.com/nateraw', 'followers_url': 'https://api.github.com/users/nateraw/followers', 'following_url': 'https://api.github.com/users/nateraw/following{/other_user}', 'gists_url': 'https://api.github.com/users/nateraw/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/nateraw/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/nateraw/subscriptions', 'organizations_url': 'https://api.github.com/users/nateraw/orgs', 'repos_url': 'https://api.github.com/users/nateraw/repos', 'events_url': 'https://api.github.com/users/nateraw/events{/privacy}', 'received_events_url': 'https://api.github.com/users/nateraw/received_events', 'type': 'User', 'site_admin': False}
[{'id': 2067376369, 'node_id': 'MDU6TGFiZWwyMDY3Mzc2MzY5', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/dataset%20request', 'name': 'dataset request', 'color': 'e99695', 'default': False, 'description': 'Requesting to add a new dataset'}, {'id': 3608941089, 'node_id': 'LA_kwDODunzps7XHBIh', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/vision', 'name': 'vision', 'color': 'bfdadc', 'default': False, 'description': 'Vision datasets'}]
[]
## Adding a Dataset
- **Name:** *Common Objects in 3D (CO3D)*
- **Description:** *See blog post [here](https://ai.facebook.com/blog/common-objects-in-3d-dataset-for-3d-reconstruction)*
- **Paper:** *[link to paper](https://arxiv.org/abs/2109.00512)*
- **Data:** *[link to data](https://ai.facebook.com/datasets/co3d-downloads/)*
- **Motivation:** *excerpt from above blog post:*

> As the first data set of its kind, CO3D will aptly enable reconstruction of real-life 3D objects. Indeed, CO3D already provides training data to enable our NeRFormer to tackle the new-view synthesis (NVS) task. Here, photorealistic NVS is a major step on the path to fully immersive AR/VR effects, where objects can be virtually transported across different environments, which will allow connecting users by sharing or recollecting their experiences.
> 
> Besides practical applications in AR/VR, we hope that the data set will become a standard testbed for the recent proliferation of methods (including NeRFormer, Implicit Differentiable Renderer, NeRF, and others) that reconstruct 3D scenes by means of an implicit shape model.
> 

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).

{'url': 'https://api.github.com/repos/huggingface/datasets/issues/2868/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0}