--- license: cc-by-4.0 tags: - 360-degree - video compression - spherical video - image sequence - video - pytorch-compatible pretty_name: UGC360 size_categories: - 10K/ │ │ ├── / │ │ │ ├── 01.png │ │ │ ├── 02.png │ │ │ ├── 03.png │ │ │ ├── ... │ │ │ └── 09.png │ ├── UGC360-M │ ├── ugc360-m.csv │ ├── / │ │ ├── / │ │ │ ├── 01.png │ │ │ └── ... │ └── UGC360-S ├── ugc360-s.csv ├── / │ ├── / │ │ ├── 01.png │ │ └── ... ``` ## License The **UGC360 subset** is licensed under **Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)**. 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: - `UGC360-S/ugc360-s.csv` - `UGC360-M/ugc360-m.csv` - `UGC360-L/ugc360-l.csv` Each row contains a `license` column indicating the license of the source video. ### Attribution and Compliance We collected only videos explicitly marked as Creative Commons on their original platforms (YouTube or Vimeo). For each clip, the dataset includes attribution information: - Video ID - Clip ID - Publisher - Original video URL - License type - Publication date If you use this dataset, you are required to: 1. Comply with the CC license of each video 2. Attribute the dataset as a whole as: > UGC360 Dataset (CC BY-SA 4.0) If you redistribute or modify this dataset, you must do so under the same license (CC BY-SA 4.0). ## Publication If you use this dataset, please cite ``` @inproceedings{regensky2025nvc360, title = {Beyond Perspective: Neural 360-Degree Video Compression}, author = {Andy Regensky and Marc Windsheimer and Fabian Brand and André Kaup}, booktitle = {accepted for the IEEE/CVF International Conference on Computer Vision (ICCV)}, year = {2025} } ```