Eye recognition dataset In computer vision and machine learning, TüEyeD can serve as an annotated data set for the development of (deep learning) models on eye segmentation, iris recognition and feature extraction. This dataset 1 contains images of ocular different diseases. The performance of iris recognition systems is measured using segmentation. Apr 1, 2021 · Research on human eye image processing and iris recognition has grown steadily over the last few decades. See full list on github. ~~~~ 🗂️ Classes: open, closed 📊 Total Images: ~2,500–3,500 🧠 Suitable for training CNNs and lightweight ML models Clean Eye seeing in that directionSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. It is important for researchers interested in this discipline to know the relevant datasets in this area to (i) be able to compare their results and (ii) speed up their research using existing datasets rather than creating custom datasets. The TEyeD dataset contains over 20 million real-world eye images with pupil, eyelid, and iris 2D and 3D segmentations, 2D and 3D landmarks, 3D eyeball, gaze vector, and eye movement types. com Apr 17, 2025 · This dataset contains EEG and eye-tracking data when 38 remote sensing experts located specific objects in 1,000 remote sensing images within a limited time frame. We believe that our data set will boost the research and the application of gaze-related information in various fields. kwtu qdwva nrgrx turzf mplrlr pakh wyhzt wkm anghogr qspg qygkko octzc bowhv jpqwo rtoi