See the future with eye imaging data.

The Envision Portal is your launchpad for easily preparing, sharing, and finding eye imaging data using user friendly interfaces and automation tools.

What is the Envision Portal?

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.

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Easy to use, intuitive, and focused on supporting your work.

Whether you are sharing data, searching for datasets, or building AI models, the Envision Portal provides the tools you need to work efficiently and responsibly.

Easy Data Sharing

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.

Convenient Data Discovery

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.

Automation for Efficiency

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.

FAIR first

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.

Development Timeline

Our development timeline is designed to align with the needs of our users and ensure a smooth transition from prototype to production.

  1. Envision Portal v0.1.0 Latest

    The first version of the Envision Portal includes comprehensive features for eye imaging data management. Users can create accounts with email verification, manage datasets through an intuitive dashboard, and upload files using Azure Data Lake integration. The platform supports rich metadata collection including study descriptions, dataset descriptions, and health sheets for AI-ready data documentation. Access control features allow for both public and controlled dataset access with request management. The platform includes dataset publishing workflows, version management, and comprehensive search and discovery capabilities for finding eye imaging datasets.