A major part of AI4Life’s work has been dedicated to establishing services and community standards. Our central service — the BioImage Model Zoo (BMZ) — has transitioned from prototype to production-ready, serving pre-trained models to users worldwide, with >29k visits and >38k page views (Aug 2024–Aug 2025) from 117 countries.
All model bundles use a community-developed metadata standard, enabling developers and advanced users to run models through a single API in Python or Java. For GUI-based users — the majority — we expanded BioImage Model Zoo integration to nine end-user tools: deepImageJ/Fiji, ilastik, ImJoy, Icy, QuPath, StarDist, CAREamics, SpotMax, and BiaPy.
To support both developers and end users, we created contributor services that streamline deployment of new AI methods. Key achievements include Python and Java libraries for local validation, continuous-integration testing that automatically verifies all submitted models, and a GUI tool for easier metadata entry. Through DL4MicEverywhere, container integration preserves and runs notebooks as exact snapshots of developer environments. So far, 13 community partners have contributed 122 models, 46 datasets, and 65 applications.
We improved website accessibility, tutorials, documentation, and redeveloped the online model-testing platform for better scalability. To engage the community, we organised 10 hackathons, 5 conference workshops, and multiple training courses, totalling over 180 dissemination activities that reached thousands of life scientists. The community submitted 151 eligible Open Call applications across 3 rounds, from which we selected 34 projects for consultations and 22 for full support. We established, refined, and published our selection procedures to guide future initiatives towards most impactful applications. All solutions have been made available on github. For method developers, AI4Life hosted 3 Public Challenges, receiving 242 submissions from 137 registered participants.
Finally, we developed a community standard for annotated/ground truth data, enabling submission of such data into the BioImage Archive (BIA). The corresponding BIA Reference Data Service has been accessed by 2634 unique visitors per month (average over the last 2 years), generating ~23,000 web page accesses per month.
