Innsbruck CNN Abstract Rule Eyetracking (ICARE) Dataset

Raw data can be downloaded on https://iis.uibk.ac.at/datasets/icare
Scripts to interpret collected data from the study on a comparison between humans and CNNs with eye tracking data. Only images that participants saw are included in the data.

Datasets

PSVRT from
Ricci, M., Kim, J., & Serre, T. (2018). Same-different problems strain convolutional neural networks. arXiv preprint arXiv:1802.03390.

SVRT from
Fleuret, F., Li, T., Dubout, C., Wampler, E. K., Yantis, S., & Geman, D. (2011). Comparing machines and humans on a visual categorization test. Proceedings of the National Academy of Sciences, 108(43), 17621-17625.

Checkerboard from
Stabinger, S., & Rodriguez-Sanchez, A. (2017). Evaluation of deep learning on an abstract image classification dataset. In Proceedings of the IEEE International Conference on Computer Vision Workshops (pp. 2767-2772).

Task list:

• PSVRT
  • sr
  • sd
• SVRT
  • svrt1
  • svrt19
  • svrt20
  • svrt21
• Checkerboard
  • Fixed camera position 5 and 1 pawn(s) (fp5 & fp1)
  • Random board placement 5 and 1 pawn(s) (rbp5 & rbp1)
  • Camera rotation 5 and 1 pawn(s) (cr5 & cr1)

PyGazeAnalyser was modified under the GPLv3 license and the changes were uploaded to https://github.com/rspiegl/PyGazeAnalyser.