During January 2025, Yuu TaTaNaKa developed an Image Display Utility for Testing within the YuuTaTaNaKa/EMOBOT repository, focusing on streamlining computer vision validation workflows. Using Python, OpenCV, and matplotlib, Yuu organized test assets under a new CV2 directory and implemented a lightweight script that reads images, converts color spaces for accurate visualization, and displays results to aid debugging. This approach standardized test asset management and improved the speed and clarity of validation for CV features. While the work was limited in scope to a single feature, it demonstrated practical skills in file organization, image processing, and testing for onboarding efficiency.