We present a large scale data set, OpenEDS: Open Eye Dataset, of eye-images captured using a virtual-reality (VR) head mounted display mounted with two synchronized eye-facing cameras at a frame rate of 200 Hz under controlled illumination. This dataset is compiled from video capture of the...
GazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset Article Open access 16 July 2021 Introduction Colour vision is based on the combined responses of three classes of photoreceptor (a.k.a cones) found in the retina1. For individuals with typical colour vision (CVn), pi...
totalling in excess of 1 million images from a number of wildlife reserves throughout Southern Africa. With this dataset, we were able to train a state-of-the-art species classifier that can accurately identify 55 different Southern African species, thus making the journey much easier for any ...
Eye landmarks detectionTwo-level cascaded networksMulti-task learningOCE datasetEye state estimationDespite extensive researches for eye localization, accuracy of eye landmarks detection is easily influenced by illumination and the difference in eye state conversion between open and close. To address ...
Gates Open Research, 3, 1113. https://doi.org/10.12688/gatesopenres.12951.2 Kothari, R., Yang, Z., Kanan, C., Bailey, R., Pelz, J. B., & Diaz, G. J. (2020). Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities. Scientific Reports, 10(1),...
s eyes provided substantial promises of future smart contact lenses for non-invasive health care using human eyes17. However, at this early stage, no specific regulations exist. A physiological acceptance between 35° (open eye) and 37° (close eye) is cautiously considered. This point will be...
To develop a novel machine learning-based intraocular lens (IOL) power calculation formula for highly myopic eyes. A total of 1828 eyes (from 1828 highly myopic patients) undergoing cataract surgery in our hospital were used as the internal dataset, and
[54]. It becomes imperative to eliminate this skewness, bringing the dataset as close as possible to a normal Gaussian distribution. After experimenting with multiple transformations including the log, Box-Cox, square root (SQRT) and others, the SQRT was identified as the most suitable method to...
However, such a dataset is costly to collect and computationally demanding to train. Therefore, our research focuses on learning semantic segmentation from real-world fish-eye data using the image alone. 2.3. Segmentation for Autonomous Driving Various existing works deal with semantic segmentation for...
Close Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily. Email address Sign up I agree my information will be processed in accordance with the Nature and Springer Nature Limited Privacy Policy....