EgoMon Gaze & Video Dataset
| Resource Type | Date |
|---|---|
| Dataset | 2016-07-04 |
Description
EgoMon Gaze & Video Dataset is an Egocentric (first person) Dataset that consists of 7 videos of aroun 30 minutes.
It contains:
- 7 videos with the gaze information plotted on them.
- The same videos (without the gaze information plotted on them).
- A total of 13428 images, more or less, that corresponds to each frame per second of all these videos.
- 7 text files with the gaze data extracted from each video.
Our dataset and the tools we used to build it are available in our github page.
People involved
| Xavier Giró | Associate Professor |
Related Publications
, “EgoMon Gaze and Video Dataset for Visual Saliency Prediction”. 2016. (1.48 MB) |