Contributed a targeted documentation enhancement to the ultralytics/ultralytics repository, focusing on updating the YOLO11 model’s README with comprehensive performance metrics. Leveraging data analysis and model performance evaluation skills, the work detailed accuracy, inference speed, and parameter counts across multiple YOLO11 configurations using Markdown. This update improved the clarity of benchmarking data and streamlined onboarding for both developers and users, supporting more informed model selection. The effort centered on refining information architecture and data presentation rather than bug fixes, resulting in clearer guidance and reduced support needs. The contribution demonstrated a methodical approach to data-driven documentation within the project.