How do I train AI models using annotated data?

How do I train AI models using annotated data?

To train AI models with annotated data, you first need to collect and label your dataset. This involves defining the categories or labels you want your model to learn.

What types of annotated data are most effective for training?

Effective types of annotated data include text, images, and audio, depending on your application. For instance, labeled images work well for computer vision tasks.

Can you explain the process of labeling data?

Labeling data involves assigning tags or categories to your data points. This can be done manually or through automated tools, depending on the volume of data.

What tools can I use for data annotation?

There are several tools available for data annotation, such as Labelbox, Prodigy, and Amazon SageMaker Ground Truth, which can help streamline the process.