The Envision Portal is your launchpad for easily preparing, sharing, and finding eye imaging data using user friendly interfaces and automation tools.
Eye imaging data are essential to advancing research in eye health and beyond. Yet, the research community faces challenges in finding and accessing eye imaging datasets that are standardized, well-documented, and ready for reuse. To address this challenge, we are developing the Envision Portal, a cloud-based, open-source platform that provides researchers and AI developers with the tools they need to conveniently share, discover, and reuse eye imaging data.
Learn moreWhether you are sharing data, searching for datasets, or building AI models, the Envision Portal provides the tools you need to work efficiently and responsibly.
Contribute your datasets through guided submission workflows. The platform supports data standardization, data de-identification, metadata completeness, and multiple access methods making your data valuable and responsibly reusable by the community.
Discover diverse eye imaging datasets using powerful search and filtering tools. The platform act as a registry for all eye imaging datasets, whether they are shared through the Envision Portal or not.
Automated tools for data formatting, metadata completeness, and de-identification help ensure that are AI-ready while reducing effort for contributors. The platform also includes a novel LLM-based search tool where data consumers can identify the right datasets for their use cases through a series of questions.
Every dataset on the Envision Portal is aligned with the FAIR (Findable, Accessible, Interoperable, Reusable) principles. Rich metadata, standardized formats, and clear documentation make data ready for reuse in research, AI development, and beyond.
Some key numbers from the project
Eye Imaging Datasets
Eye Images Curated
Universities & Research Centers
Dataset Downloads
API Requests
Research Papers Citing our Datasets
Learn about updates to the platform and other news regarding the FAIRification of eye imaging data.
Researchers are using eye imaging data to track changes in retinal structure and vascular features to detect neurological risks. The Anderson Lab at the University of California, San Francisco, is using this data to study the effects of aging on a population of mice.
Fujibayashi Naoue We recently updated the Envision Portal to include new features and improved functionality. The new features include the ability to upload and manage multiple datasets, as well as the ability to view and analyze data from multiple studies.
Bonnie Green Our development timeline is designed to align with the needs of our users and ensure a smooth transition from prototype to production.
Added a new uploading tool that allows users to upload their own datasets. The uploading tool includes a drag-and-drop interface, a progress bar, and a file preview. It also includes a documentation page that provides detailed instructions on how to upload datasets.
Upload DatasetThe Envision Portal v0.2.0 is a significant update that includes new features, improved usability, and enhanced security. The dashboard has been redesigned to provide a more intuitive and user-friendly interface. The data explorer has been updated to include new features and improved functionality. The visualization tool has been improved to provide more customization options and better integration with other tools.
The first version of the Envision Portal is now available for testing. It includes a dashboard, a data explorer, and a visualization tool. The dashboard allows users to view and analyze their data, while the data explorer provides a user-friendly interface for uploading, managing, and sharing datasets. The visualization tool enables users to create and share visualizations of their data.
