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Welcome to BioImage.IO Documentation

Welcome to the official BioImage.IO documentation. Here, you'll find comprehensive resources designed to support your journey through the fascinating world of bioimaging. Our documentation is structured to provide easy access to all the information you need, whether you're just starting out or looking to deepen your expertise.

Quick Navigation

  • Getting Started: Introduction to the BioImage Model Zoo ecosystem, who are we and how can you be part of it.
  • How to use the BioImage Model Zoo: This guide is intended for users wanting to consume or use models from the BioImage Model Zoo. There are plenty of models in the BioImage Model Zoo that you can use in your own software, in the software of our community partners or you can even download them and use them in a notebook or code of your own.
  • How to contribute models: This guide is intended for developers wanting to contribute or upload models to the BioImage Model Zoo.
  • Model Card Template: A comprehensive template for documenting your AI model when contributing to the BioImage Model Zoo.
  • Other contributions: This guide is intended for users wanting to contribute to the BioImage Model Zoo in other ways than uploading models.
  • Community Partners Guide: Community Partners wanting to integrate their software in to the BioImage Model Zoo can follow this guide to learn how to do so.
  • Tools and Resources: Overview of the available tools and resources linked to the BioImage Model Zoo.
  • Help Desk: A bit lost? Check the help desk for more information, a glossary page and how to contact us!
  • Terms of Service: Usage policies and guidelines.
  • Code of Conduct: The code of conduct for the ecosystem.

Explore and Discover

Dive into our documentation to explore the tools, resources, and support available to enhance your knowledge about the BioImage Model Zoo ecosystem. If you have any questions or need further assistance, our Help Desk is ready to assist you. Happy exploring!

Reference publication

Wei Ouyang, Fynn Beuttenmueller, Estibaliz Gómez-de-Mariscal, Constantin Pape, Tom Burke, Carlos Garcia-López-de-Haro, Craig Russell, Lucía Moya-Sans, Cristina de-la-Torre-Gutiérrez, Deborah Schmidt, Dominik Kutra, Maksim Novikov, Martin Weigert, Uwe Schmidt, Peter Bankhead, Guillaume Jacquemet, Daniel Sage, Ricardo Henriques, Arrate Muñoz-Barrutia, Emma Lundberg, Florian Jug, Anna Kreshuk, BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage Analysis, bioRxiv 2022.06.07.495102, doi: https://doi.org/10.1101/2022.06.07.495102

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