EyeTrackUAV (1&2) 

EyeTrackUAV1 & EyeTrackUAV2 constitute eye tracking datasets which were produced in the framework of the research project DISSOCIE. 

DISSOCIE aims to develop automatic and semi-automatic operator models capable of detecting salient areas from the point of view of human operators, by considering the low-level characteristics of the salient content in the videos, geo-temporally localized contextual information, and the expertise and the detection strategies of human operators.

EyeTrackUAV1

The production of this dataset was based on the collection of binocular gaze data (1000 Hz) during the observation of Unmanned Aerial Vehicles (UAVs) Videos under free viewing conditions. 

A full description of the EyeTrackUAV1 dataset can be found in (please cite the work below as a reference to EyeTrackUAV1):

Krassanakis, V., Da Silva, M.P., & Ricordel, V. (2018). Monitoring Human Visual Behavior during the Observation of Unmanned Aerial Vehicles (UAVs) Videos, Drones, 2(4), 36.

EyeTrackUAV1 is freely distributed to the scientific community via anonymous FTP at ftp://ftp.ivc.polytech.univ-nantes.fr/EyeTrackUAV.

Sample:

EyeTrackUAV2

The production of this dataset was based on the collection of binocular gaze data (1000 Hz) during the observation of Unmanned Aerial Vehicles (UAVs) Videos under both free viewing and surveillance task-based conditions. 

A full description of the EyeTrackUAV2 dataset can be found in (please cite the work below as a reference to EyeTrackUAV2):

Perrin, A. F., Krassanakis, V., Zhang, L., Ricordel, V., Perreira Da Silva, M., & Le Meur, O. (2020). EyeTrackUAV2: a Large-Scale Binocular Eye-Tracking Dataset for UAV Videos. Drones, 4(1), 2.

EyeTrackUAV2 is freely distributed to the scientific community via anonymous FTP at ftp://dissocie@ftp.ivc.polytech.univ-nantes.fr/EyeTrackUAV2/. 

Sample: