During November 2024, Daiki developed a dataset comparison table to enhance documentation for object detection workflows in the IBM/terratorch repository. By leveraging data analysis skills and Markdown, Daiki created a structured resource that enables users to efficiently evaluate and select datasets for experimentation. The documentation provides clear, side-by-side comparisons, supporting both onboarding and ongoing research by reducing the time required to assess dataset suitability. Daiki’s work demonstrated careful attention to documentation quality and version control, resulting in a practical tool that addresses a specific need for clarity in dataset selection within the object detection domain. No bugs were addressed during this period.