Datasets:
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README.md
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- config_name: UGC360-L
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- config_name: UGC360-L
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---
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# UGC360
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Dataset of 6866 9-frame 360-degree video sequences collected from 1321 unique videos from Vimeo and Youtube licensed under a Creative Commons License.
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The dataset is split into three subsets UGC360-S, UGC360-M, and UGC360-L to ease data handling.
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| Subset | Resolutions | Minimum | Maximum | Clips |
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|----------|:-----------:|:---------:|:---------:|------:|
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| [UGC360-S](https://huggingface.co/datasets/your-username/ugc360/resolve/main/UGC360-S.zip) | .5K - 2.5K | 640x320 | 2560x1440 | 5080 |
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| [UGC360-M](https://huggingface.co/datasets/your-username/ugc360/resolve/main/UGC360-M.zip) | 3K - 6K | 3072x1536 | 5760x2880 | 1618 |
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| [UGC360-L](https://huggingface.co/datasets/your-username/ugc360/resolve/main/UGC360-L.zip) | 8K | 7680x3840 | 7680x4320 | 168 |
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## License
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The **UGC360 subset** is licensed under **Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)**.
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Each individual clip within the dataset originates from videos published under various **Creative Commons licenses** (e.g., CC-BY, CC-BY-SA). The corresponding license for each clip is documented in the CSV metadata files within each subset folder:
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- `UGC360-S/ugc360-s.csv`
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- `UGC360-M/ugc360-m.csv`
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- `UGC360-L/ugc360-l.csv`
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Each row contains a `license` column indicating the license of the source video.
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### Attribution and Compliance
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We collected only videos explicitly marked as Creative Commons on their original platforms (YouTube or Vimeo). For each clip, the dataset includes attribution information:
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- Video ID
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- Clip ID
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- Publisher
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- Original video URL
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- License type
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- Publication date
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If you use this dataset, you are required to:
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1. Comply with the CC license of each video
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2. Attribute the dataset as a whole as:
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> UGC360 Dataset (CC BY-SA 4.0)
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If you redistribute or modify this dataset, you must do so under the same license (CC BY-SA 4.0).
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## Publication
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If you use this dataset, please cite
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```
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@inproceedings{regensky2025nvc360,
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title = {Beyond Perspective: Neural 360-Degree Video Compression},
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author = {Andy Regensky and Marc Windsheimer and Fabian Brand and André Kaup},
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booktitle = {accepted for the IEEE/CVF International Conference on Computer Vision (ICCV)},
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year = {2025}
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}
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```
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