Aelmusta enhanced the fieldsoftheworld/ftw-baselines repository by developing comprehensive documentation to guide users in selecting appropriate image timeframes for inference tasks. Focusing on Markdown, they integrated detailed setup instructions into the README, demonstrating how to leverage the USDA crop calendar and the Planetary Computer Explorer for effective image filtering. The documentation included practical steps for applying filtering parameters, such as setting a cloud threshold, to improve inference accuracy and reproducibility. While the work centered on a single feature and did not involve bug fixes, it provided clear, actionable guidance that improved the repository’s usability and operational effectiveness for image-based workflows.