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Tutorial: Training Data Preparation#

Learn how to prepare high-quality training datasets from OMERO annotations for machine learning model development.

Overview#

This tutorial covers the essential steps for converting OMERO annotations into training-ready datasets:

  • Exporting annotations in standard formats
  • Quality control and validation
  • Train/validation/test splitting strategies
  • Data augmentation considerations

Prerequisites#

  • Completed annotation workflows in OMERO
  • Understanding of machine learning data requirements
  • Familiarity with annotation quality assessment

Coming Soon#

This tutorial is in development. Check back soon for detailed instructions on preparing training data from your OMERO annotations.