The Einstein Vision model is a representation of how objects are detected and counted in an image. The model needs to be created as part of the development process using a base set of images. The base set of images should contain images of the products that need to be detected on the shelf, as well as labels and annotations for each product. The model is then trained and tested using these images and can be improved by adding more images or adjusting the parameters. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.