You work for a manufacturing company focused on producing high-quality products. At the end of the assembly line, you need to ensure that a custom image classification model accurately detects product defects. Your current model has been trained, and although it performs well overall, some images in your holdout set are consistently mislabeled with high confidence, which could lead to poor quality control. To improve the model and understand these mislabelings, you plan to use Vertex AI. What approach should you take to analyze and address these issues?