AI4Life Help Desk

Welcome to the AI4Life Help Desk! We are delighted to assist you with any inquiries or support you may need regarding the AI4Life project. Our goal is to provide sustainable, intuitive, and high-quality research services and infrastructures that enable life scientists to leverage machine learning for improved image data utility and interpretability, thus advancing biomedical research. Below are the various ways you can get in touch with us and access helpful resources.

Contact us

If you need to contact us, we offer different options:

1. You can post your queries and discussions related to the BioImage Model Zoo on the forum dedicated to

2. For technical issues or bug reports concerning the BioImage Model Zoo, you can open a new issue on our GitHub repository:

3. Typeform: If you have general inquiries or feedback about the BioImage Model Zoo, you can use our Typeform to get in touch with the BioImage Model Zoo.

Contact Us: typeform

4. For technical assistance on the BioImage Archive, please refer to its website. Or contact us at:

Training & Documentation

To assist you in your journey with AI4Life and the BioImage Model Zoo, we offer the following training and documentation resources:

  1. BioImage Model Zoo documentation: Detailed documentation on using and contributing to the BioImage Model Zoo.
  2. Slides and Videos at GTN: Access training materials and videos on the Galaxy Training Network to enhance your understanding of bioimage analysis.
  3. AI4Life Youtube Channel: Visit our YouTube channel to find tutorials, webinars, and other valuable content related to AI4Life and bioimage analysis.


AI4Life is a project whose goal is to provide sustainable, intuitive, and highest quality research services and infrastructures that will enable all life scientists to exploit machine learning to improve the utility and interpretability of image data, the key to future biomedical research.
The BioImage Model Zoo is a community-driven AI model repository. The aim is to facilitate the adoption of AI methods among the bioimaging community by providing easy access to pretrained AI models. By establishing a common Model Resource Description File Specification, the model zoo serves as a distribution point for deep learning models trained to perform bioimage analysis tasks. The AI4Life project supports the BioImage Model Zoo.

To participate, you can take on the role of a Community Partner or engage as a Consumer or Contributor of models from the BioImage Model Zoo.
As a Consumer, your role involves utilizing the existing models available on by downloading and incorporating them into your workflow using connected software or in any specific manner. For instance, a Life Scientist can be a Consumer by using a Deep Learning model downloaded from and integrating it into any compatible software (deepImageJ, Ilastik, ImJoy, ZeroCostDL4Mic, …) .
If your primary objective is to contribute models to, then you are a Contributor. As such, you play a crucial role in expanding the range of available models and supporting the bioimage analysis community.

Usually, a Community Partner is an organization, a company, a research group, or a software team (of one or more) that can consume and/or produce models from/for the model zoo. 

A Community Partner can either be a team behind a software which produces or consumes trained models compatible with the specifications or a organization, group, company or team (of one or more) who contributes models to

AI4Life Open Call offers technical support to  researchers, scientists, or the broader community of bioimage analysis. In an open call, there are two main groups of participants: Life Scientists and Computer Scientists. Life Scientists are invited to provide issues or problems that are related to specific datasets. They contribute their domain expertise and knowledge of the biological context to identify challenges that require bioimage analysis solutions. On the other hand, AI4Life provides the computational expertise that can effectively address and solve the identified issues.  More information on the AI4Life Open Calls can be found here:

Can’t find what you are looking for? 

If you can’t find the information you need or have any other inquiries, feel free to reach out to us via email at, and we’ll be more than happy to assist you.