  Artificial Intelligence methods are powerful tools for biological image
analysis and processing. High-quality annotated images are key to training and
developing new methods, but access to such data is often hindered by the lack
of standards for sharing datasets. We brought together community experts in a
workshop to develop guidelines to improve the reuse of bioimages and
annotations for AI applications. These include standards on data formats,
metadata, data presentation and sharing, and incentives to generate new
datasets. We are positive that the MIFA (Metadata, Incentives, Formats, and
Accessibility) recommendations will accelerate the development of AI tools for
bioimage analysis by facilitating access to high quality training data.
