BioImage Model ZooThe BioImage Model Zoo is a community-driven, fully open resource where standardized, pre-trained deep-learning models can be shared, explored, tested directly in the browser, and deployed in many end-user tools — including ilastik, deepImageJ, QuPath, StarDist, ImJoy, and ZeroCostDL4Mic. A shared model standard makes these models cross-compatible, so a model contributed once can be reused everywhere.
The AICell Lab leads the user services and cloud infrastructure behind the Zoo: the model-upload and testing pipelines, and the BioEngine backend that runs the in-browser “test run” feature. Our goal is to make deep-learning methods for microscopy findable, accessible, interoperable, and reusable (FAIR) across the whole bioimaging ecosystem. This effort grew out of the now-completed AI4Life project and continues as a living community platform.
Read more in our preprint.