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README.md
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## Dataset Format
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The dataset is provided in a format ready for point cloud-based learning:
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- **Surface Points:** Stored as `.npy` files.
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- Under **data/result**, we have **152508** sub-directories. And in each directory, we provide **object.npy** and **object_aug.npy**. object_aug.npy contains surface points after augmentations. For example of dataloader, please checkout our [github]().
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## License
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This dataset is licensed under the [CC BY-SA 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/). You are free to share and adapt the dataset, provided appropriate credit is given and any derivative works are distributed under the same license. Please also check licence here [zeroverse](https://github.com/desaixie/zeroverse).
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## Dataset Format
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The dataset is provided in a format ready for point cloud-based learning:
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- **Surface Points:** Stored as `.npy` files.
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+
- Under **data/result**, we have **152508** sub-directories. And in each directory, we provide **object.npy** and **object_aug.npy**. object_aug.npy contains surface points after augmentations. For example of dataloader, please checkout our [github](https://github.com/UVA-Computer-Vision-Lab/point-mae-zero?tab=readme-ov-file).
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## License
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This dataset is licensed under the [CC BY-SA 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/). You are free to share and adapt the dataset, provided appropriate credit is given and any derivative works are distributed under the same license. Please also check licence here [zeroverse](https://github.com/desaixie/zeroverse).
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