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<p>Artificial intelligence (AI) methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new algorithms, but access to such data is often hindered by the lack of standards for sharing datasets. We discuss the barriers to sharing annotated image datasets and suggest specific 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 sure that the Metadata, Incentives, Formats and Accessibility (MIFA) recommendations will accelerate the development of AI tools for bioimage analysis by facilitating access to high-quality training and benchmarking data.</p>

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MIFA: Metadata, Incentives, Formats and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis

  • 期刊论文

  • 发表日期：

    2025年9月15日

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  • Teresa Zulueta-Coarasa,
  • Florian Jug,
  • Aastha Mathur,
  • Josh Moore,
  • Arrate Muñoz-Barrutia,
  • Liviu Anita,
  • Kolawole Babalola,
  • Peter Bankhead,
  • Perrine Gilloteaux,
  • Nodar Gogoberidze,
  • Martin L. Jones,
  • Gerard J. Kleywegt,
  • Paul Korir,
  • Anna Kreshuk,
  • Aybüke Küpcü Yoldaş,
  • Luca Marconato,
  • Kedar Narayan,
  • Nils Norlin,
  • Bugra Oezdemir,
  • Jessica L. Riesterer,
  • Craig Russell,
  • Norman Rzepka,
  • Ugis Sarkans,
  • Beatriz Serrano-Solano,
  • Christian Tischer,
  • Virginie Uhlmann,
  • Vladimír Ulman,
  • Matthew Hartley

摘要

Artificial intelligence (AI) methods are powerful tools for biological image analysis and processing. High-quality annotated images are key to training and developing new algorithms, but access to such data is often hindered by the lack of standards for sharing datasets. We discuss the barriers to sharing annotated image datasets and suggest specific 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 sure that the Metadata, Incentives, Formats and Accessibility (MIFA) recommendations will accelerate the development of AI tools for bioimage analysis by facilitating access to high-quality training and benchmarking data.