The Data Labeling page, accessible from the Data Labeling menu after selecting a project, lists all data labeling sessions within a project.
Data Labeling enables you to upload raw data, annotate text data in the labelling tool (for classification or entity recognition), and use the labelled data to train ML models. It is also used by the human reviewer to re-label incorrect predictions as part of the feedback process. This feature brings the complete text model building workflow within AI Center, without the need for third-party tools and integrations.
Updated about a month ago