What is the first step when creating an AI Builder object detection model?

The first step when creating an AI Builder object detection model is to define its domain. This is crucial because defining the domain involves identifying the specific type of objects that the model will be trained to recognize and analyze. By establishing a clear domain, you ensure that the model is tailored to recognize the relevant objects effectively, which is fundamental for achieving accurate object detection results.

In the process of building an AI model, understanding the domain provides the necessary context and focus for gathering data and designing the model. It allows you to set clear objectives for what the model should be able to do, leading to better training and testing outcomes.

Setting up data sources is indeed important, but it comes after you have defined what you want the model to do. Similarly, creating a custom entity and designing the user interface are steps involved in the larger development process, but they follow the initial step of defining the domain of the model. Hence, defining the domain is foundational to ensuring that every subsequent step aligns with the objectives of the model.