This repository contains the simulation and model training code, the trained model and the code for evaluating the model on simulated and real images used and developed for the article Byrne, S.A., Nyström, M., Maquiling, V., Kasneci, E., & Niehorster, D.C. (2023). Precise localization of corneal reflections in eye images using deep learning trained on synthetic data. Behavior Research Methods. doi: 10.3758/s13428-023-02297-w
When using the code or model in this repository in your work, please cite Byrne et al. (submitted).
For more information or questions, e-mail: sean.byrne@imtlucca.it / dcnieho@gmail.com. The latest version of this repository is available from www.github.com/dcnieho/Byrneetal_CR_CNN
The code and model are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC NC-BY-SA 4.0) license.
Contents:
model_training: this folder contains the code for generating the simulated CR images, and the code for training the CNN on these images.trained_model: this folder contains the trained model used for the evaluations reported in Byrne et al. (submitted).eval_sim: this folder contains the code for running the model evaluations on simulated data.eval_real: this folder contains the code for running the model evaluations on real eye images (not available).
N.B.: complete details of changes made are available on github
- initial release
- update for article revision
By downloading this data set, you expressly agree to the following conditions of release and acknowledge the following disclaimers issued by the authors:
Data are available by permission of the authors. Use of data in publications, either digital or hardcopy, must be cited as follows: Byrne, S.A., Nyström, M., Maquiling, V., Kasneci, E., & Niehorster, D.C. (2023). Precise localization of corneal reflections in eye images using deep learning trained on synthetic data. Behavior Research Methods. doi: 10.3758/s13428-023-02297-w.
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