Russia Develops Software for Annotating Digital Raster Images
The state-owned company Roskadastre has unveiled Eva.Lab — a new software platform designed for annotating digital raster images and preparing datasets for computer vision systems, marking a major step forward in Russia’s AI and data-processing ecosystem.
A More Powerful Toolkit
Eva.Lab brings together advanced tools for object labeling, classification, data validation, and export to popular formats for seamless integration with machine learning systems.
This makes preparing training datasets for AI models faster and more efficient. A key priority for developers was creating an intuitive, Russian-language interface that’s easy to navigate even for users without deep technical backgrounds.
As a result, Eva.Lab can be adopted across multiple industries — from mapping and construction to urban analytics and education.
The software has been added to Russia’s Unified Register of Domestic Software (registry entry No. 30040, dated October 6, 2025), confirming its compliance with national standards and legal requirements. This allows Eva.Lab to be officially used by government agencies as a domestically developed AI solution. According to Roskadastre, Eva.Lab’s development is part of Russia’s broader import substitution strategy.
The company’s nationwide presence supports projects that optimize land use, accelerate housing construction, improve service delivery, and expand digital public services. Ultimately, the platform aims to make government services more accessible and efficient for millions of citizens.
Boosting Smart Urban Development
Eva.Lab’s launch marks an important milestone for Russia’s IT sector, particularly in building the country’s capacity for machine learning data preparation. Such innovations strengthen domestic AI infrastructure, reduce dependency on foreign products, and advance import substitution efforts in software. By offering a localized platform for dataset annotation, Eva.Lab can accelerate AI adoption across sectors — and, with further adaptation, it may even become a viable export product for international markets.
In Russia, the platform could be deployed in smart city projects, geodesy, cadastral systems, and infrastructure monitoring, and potentially integrated into broader digital governance initiatives aimed at improving national security and quality of life. Eva.Lab could also play a role in education and workforce development, powering training programs for AI specialists and data annotation professionals in universities and training centers.
Over time, developers plan to expand its capabilities to support vector formats, 3D and multispectral data, and even AI-assisted auto-labeling with active learning and feedback loops. Its inclusion in the national software registry also means the platform can be used in state contracts, increasing its adoption in public-sector projects.
Accelerating Digital Transformation
Solutions like Eva.Lab play a key role in Russia’s ongoing digital transformation. By automating image analysis and annotation, AI can dramatically improve government workflows — speeding up data processing, reducing human error, and raising the overall quality of public and business services. Eva.Lab’s modular design and scalability make it a foundational tool for the next generation of Russian digital infrastructure.
