Data annotation and labeling is a configuration process where you are setting up your system to make it preprocessing-ready.
IDP systems have a machine learning-first approach. This means that the documents are processed based on a configured machine learning model. Infrrd uses training, also known as tagging, to configure models for document processing. The configuration user or manager is equipped with data and annotation capabilities to train a specific document type, including the document fields. The data annotation or tagging is minimal when you use a pre-trained global model which has the potential to process documents with high accuracy for known document types. However, the data annotation features of Infrrd’s IDP enable you to easily configure, tag, and train even unknown document types.