Definitions

The definition of key concepts

Item	description
Annotation	The process of labelling the data available in various formats like text, video or images.
Firm / Business	A concept object which can manage one or more projects.
Business Model	A concept model that pre-defines fields from which the prediction will extract values.
MultiClass-Classification	A classification task with two or more classes with the assumption that each sample is assigned to ONLY ONE label - e.g. A document can be either an insurance receipt or water bill, but not both at the same time.
MultiLabel-Classification	A classification task with two or more classes with the assumption that each sample is assigned to MULTIPLE labels - e.g. A document can cover topics of both religion and politics at the same time.
Free form (Data Extraction)	One of project types in which user can freely define interested fields for AI to learn and extract values from predicated documentation.
Project Type	The type of AI task the created project aims to tackle: + MultiClass-Classification + MultiLabel-Classification + Free Form (Data Extraction) + Various pre-built models
Pre-built Model	A model that is pre-trained based on selected data and annotation. User can start predicting documentation directly by saving the LABEL(annotation) and TRAIN processes whenever the pre-built model fits the business need.