Einstein Vision for Consumer Goods Cloud provides two primary ways to review detection accuracy. The Model Metrics tab allows users to analyze the AI model's performance directly, showing metrics like precision and recall for object detection. The Shelf Metrics tab provides an aggregated view of product performance on shelves across various stores or visits. This allows users to review the outcomes of the vision detection process, such as share of shelf or out-of-stock instances, which indirectly reflects the system's overall accuracy and effectiveness in a business context.

A. Goods Metrics: This is not a standard term or component related to Einstein Vision performance analysis in Consumer Goods Cloud.

C. Planogram Metrics: These are the results of the analysis (e.g., compliance percentage), not a direct measure of the AI model's detection accuracy itself.

D. Object Metrics: While the model detects objects (products), "Object Metrics" is not the name of the specific analytics component for reviewing accuracy.

1. Salesforce Help. (2023). Monitor Einstein Vision for Consumer Goods Cloud Performance. "Use the Model Metrics tab to see how your model is performing. Use the Shelf Metrics tab to see how your products are performing on the shelves."