What type of Custom Vision project should you create to categorize images as "cat" or "dog"?

Selecting an image classification (multiclass) project is the appropriate choice for categorizing images as either "cat" or "dog" because this type of project is designed for scenarios where each image can belong to one exclusive category from a set of predefined categories. In this case, the categories are "cat" and "dog." Since an image can typically only depict one of these animals at a time, multiclass classification allows the model to learn to distinguish between these two classes effectively.

In contrast, an image classification (multilabel) project is suited for cases where an image can belong to multiple categories simultaneously, which is not applicable in this situation. Object detection is used for identifying and localizing objects within an image, typically when there can be multiple instances of classes present. Image segmentation involves partitioning an image into segments or categories, focusing on pixel-level classification, which is also not required for simple classification between two distinct categories like "cat" and "dog."