What is required to employ the smart labeler tool in object detection?

To employ the smart labeler tool in object detection, it is essential to tag images with objects of each class. This step is crucial because the smart labeler relies on labeled training data to identify and classify objects within images effectively. By tagging images, you provide the necessary context and information that the model needs to learn how to recognize different objects during the training phase.

Labeling helps create a training dataset that informs the model about the specific objects it should look for and differentiates them from each other. This process allows the model to understand variations in object appearance, lighting, and background, which is vital for accurate detection in real-world applications. Thus, having tagged images is foundational to the smart labeler’s ability to formulate and refine its object recognition capabilities.