Developed and delivered a vertex color extraction and visualization feature for the ibs-lab/cedalion repository, focusing on enhancing photogrammetry workflows. The implementation introduced Python-based methods to extract, inspect, and visualize vertex color distributions prior to downstream processing, supporting improved data quality checks and enabling color-based classification. Leveraging skills in Python programming, data visualization, and photogrammetry, the work established a foundation for future analytics and quality control within the pipeline. This targeted addition addressed the need for early-stage inspection of color data, allowing users to assess and classify mesh colors before further processing steps in the photogrammetry environment.