Who can benefit from the Open EDS Dataset?

AI researchers, computer vision engineers, students, academic institutions, and organizations developing biometric or eye-tracking technologies can benefit from the Open EDS Dataset.

Open EDS Dataset

Q: What is the Open EDS Dataset?

The Open EDS Dataset is a large-scale eye image dataset collected from 152 participants using a virtual reality headset. It contains annotated and unannotated eye-region images that support computer vision and machine learning research.

Q: What are the applications of the Open EDS Dataset?

The Open EDS Dataset is used for eye tracking, iris recognition, pupil detection, gaze estimation, biometric authentication, virtual reality research, and computer vision model development.

Q: Where is the Open EDS Dataset sourced from?

The Open EDS Dataset is sourced from Kaggle and is intended for research, education, and the development of advanced computer vision and eye-tracking applications.

Home » Dataset Download » Open EDS Dataset

Open EDS Dataset

Datasets

Open EDS Dataset

File

Open EDS Dataset

Use Case

Computer Vision

Description

This dataset is compiled from video capture of the eye-region collected from 152 individual participants and is divided into four subsets

About Dataset

Introducing OpenEDS (Open Eye Dataset), a large-scale collection of eye images captured using a virtual reality (VR) headset equipped with two synchronized cameras facing the eyes.

Dataset Details:
- Captured at a frame rate of 200 Hz under controlled lighting conditions.
- Compiled from video recordings of the eye region from 152 individuals.
- Divided into four subsets:
  - 12,759 images with detailed annotations for key eye regions: iris, pupil, and sclera.
  - 252,690 unlabeled eye images.
  - 91,200 frames extracted from randomly selected video sequences lasting 1.5 seconds each.
  - 143 pairs of left and right point cloud data generated from corneal topography of eye regions, collected from 143 out of 152 participants.
Purpose:
- Designed to support research and development in eye-related technologies, such as iris recognition and pupil detection.
- Provides a diverse range of eye images for training and testing machine learning algorithms and computer vision systems.

OpenEDS is a valuable resource for advancing understanding and innovation in eye-related technologies.

Conclusion

By leveraging this dataset, stakeholders can develop innovative solutions, optimize resource use, and make informed decisions that benefit AI research and computer vision applications. As we continue to improve data collection and integration methods, the impact of the Open EDS Dataset will only grow, driving advancements in AI and vision-based technologies.

This dataset supports the development of advanced computer vision models for eye tracking, iris recognition, and pupil detection. Its large-scale and well-annotated data make it highly valuable for real-world vision-based applications.

This dataset is sourced from Kaggle.

Contact Us

FAQs

1. What is the Open EDS Dataset used for?

The Open EDS Dataset is primarily used for developing and evaluating computer vision models for eye tracking, iris recognition, pupil detection, and gaze estimation. It provides high-quality eye-region images captured in a virtual reality environment.

2. What types of data are included in the Open EDS Dataset?

The dataset includes annotated eye images, unlabeled eye images, video frames, and corneal topography point cloud data. These data types support a wide range of machine learning and computer vision research tasks.

3. How many participants contributed to the Open EDS Dataset?

The Open EDS Dataset was collected from 152 participants under controlled lighting conditions using a VR headset equipped with synchronized eye-facing cameras, ensuring consistent and high-quality image data.

4. Can the Open EDS Dataset be used for eye tracking and biometric research?

Yes. The dataset is well suited for eye tracking, iris segmentation, pupil detection, gaze estimation, biometric authentication, and other vision-based AI applications because it contains detailed annotations and diverse eye-region images.

5. Where is the Open EDS Dataset sourced from?

The Open EDS Dataset is sourced from Kaggle and is intended for research, education, and the development of computer vision models related to eye analysis and biometric technologies.

Let's Discuss your Data collection Requirement With Us

To get a detailed estimation of requirements please reach us.

Open EDS Dataset