FiftyOne has introduced a unified interface to compute, visualize, and compare model metrics, providing a more efficient and collaborative approach to evaluating model performance. This feature allows users to identify error cases, filter samples, and compare multiple model runs side by side within the FiftyOne Enterprise platform. The Model Evaluation workflow provides industry-standard metrics like precision, recall, F1-score, and custom evaluation metrics for various models, including regression, classification, object detection, and semantic segmentation. Additionally, it offers a dynamic interface to explore, troubleshoot, and summarize evaluation results, with features such as dynamic filtering of predictions and results, side-by-side sample and error views, and multi-run comparisons. This unified platform enables teams to collaborate more effectively on model improvement cycles, reducing uncertainty about when a model is production-ready.