| license: cc-by-4.0 | |
| size_categories: | |
| - n<1K | |
| pretty_name: OpenSAL360 | |
| tags: | |
| - video | |
| - omnidirectional | |
| - saliency | |
| - crowdsourcing | |
| task_categories: | |
| - other | |
| # OpenSAL360: Open-Source Crowdsourcing Platform for Omnidirectional Video Saliency Collection | |
| [](https://github.com/msu-video-group/OpenSAL360) | |
|  | |
| **Paper:** [OpenSAL360: Open-Source Crowdsourcing Platform for Omnidirectional Video Saliency Collection](https://huggingface.co/papers/2609.21480) | |
| ## Dataset | |
| **OpenSAL360** sample dataset is the largest omnidirectional video saliency dataset with the following key features: | |
| * Large scale: **500** videos with mean **18.1s** duration; | |
| * Fixations from **>2000** observers (**>84** per video); | |
| * **Audio** track saved and played to observers; | |
| * High resolution: all streams are **3840x1920**; | |
| * Diverse content from **YouTube**; | |
| * License: **CC-BY**; | |
| ### File Structure | |
| 1) `videos` — 500 mp4 omnidirectional videos in ERP, 30 FPS videos with audio streams; | |
| 2) `saliency` — 500 mp4 almost losslessly (crf 0, 10bit, min-max normalized) compressed continuous saliency maps videos; | |
| 3) `fixations` — 500 json files with per-frame fixation coordinates, from which saliency maps were obtained; | |
| 4) `metadata.json` — meta information about each video (e.g. license, source URL, etc.); |