As a Google Professional Machine Learning Engineer, you are tasked with enhancing a visual search engine for an online retail company. The ML pipeline is designed to classify images based on the presence of the company's products. With the anticipation of new product launches, a retraining feature has been integrated into the pipeline. To ensure the model maintains high accuracy, AI Platform's continuous evaluation service will be utilized. Considering the need for a robust evaluation strategy that accommodates new products without compromising the assessment of existing product classifications, what is the most effective approach to manage your test dataset? Choose the best option.