EyeCatchingMaps, a Dataset to Assess Saliency Models on Maps
<div>EyeCatchingMaps, a Dataset to Assess Saliency Models on Maps</div> <div> </div> <div> <p>This dataset is made up of a total of 322 maps. It is made up of maps from google maps, ign and osm.</p> <p>It also includes maps from school textbooks.</p> </div> <div> </div> <div>In the folder map we have all the map of the datatset</div> <div> </div> <div>in the folder coord_on_map, for each map, a file containing all the fixation points of each participant, named ’coord_fixation_name_map.png.csv’ in CSV format with the following elements and during a fixation, a person looks at an area and can move slightly. The fixation will then be represented by a few points:</div> <div>- worl_index : the id of fixation</div> <div>- id_fixation : the id of fixation point</div> <div>- time : the time of the fixation point in relation to the time of the survey</div> <div>- x : x coordinate of the point of fixation on the image</div> <div>- y : y coordinate of the point of fixation on the image</div> <div>- dispersion : distance between all gaze locations during a fixation, in degree</div> <div>- accuracy : in degree</div> <div>- precision :in degree</div> <div>- participant : Participant ID</div> <div>- distance : distance between eye-tracker and screen incm</div> <div>- time_to_map : the time of the fixation point in relation to the map display</div> <div>- height : height of the map</div> <div>- width : width of the map</div> <div> </div> <div>In the folder heatmap we have heatmaps for each map named ’heatmap_name_map.png’.</div> <div> </div> <div> </div> <div> <div> <div>in the folder 'script' there are the different scripts used to produce the data</div> </div> </div>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4