Summary of Eyedentify: a Dataset For Pupil Diameter Estimation Based on Webcam Images, by Vijul Shah et al.
EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images
by Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel
First submitted to arxiv on: 15 Jul 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces EyeDentify, a novel dataset designed to estimate pupil diameter from webcam images. The existing datasets in this domain are limited and often require specialized sensors like Tobii, which can be costly. In contrast, EyeDentify leverages standard webcam data to enable the development of deep learning models that can accurately estimate pupil diameters. This democratization of pupil diameter estimation has far-reaching implications for understanding human activity and supporting healthcare applications. The proposed dataset consists of cropped eye images alongside corresponding pupil diameter information, making it a valuable resource for researchers seeking to create more accessible and broadly applicable models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a special kind of database called EyeDentify that helps computers guess how big people’s pupils are just from looking at them on a webcam. Right now, there aren’t many good datasets like this one, and the ones we do have require really fancy cameras. But what if you could use something as simple as your laptop camera to figure out pupil size? That would be super helpful for doctors and scientists who want to understand how people are feeling or what they’re doing. The EyeDentify dataset is a collection of pictures of eyes along with information about how big the pupils are, which will make it easier for computers to get better at guessing this stuff. |
Keywords
* Artificial intelligence * Deep learning
