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What is invoice annotation? Invoice annotation is the way to train the AI of the system to extract data from the invoice layout where the system did not extract it the first time.

Annotations are comments, notes, explanations, or other types of external remarks that can be attached to a Web document or to a selected part of a document. As they are external, it is possible to annotate any Web document independently, without needing to edit the document itself.

Computers can't process visual information the way human brains do: A computer needs to be told what it's interpreting and provided context in order to make decisions. Data annotation makes those connections.

In machine learning, data annotation is the process of labeling data to show the outcome you want your machine learning model to predict. You are marking - labeling, tagging, transcribing, or processing - a dataset with the features you want your machine learning system to learn to recognize.

Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.

What is invoice annotation? Invoice annotation is the way to train the AI of the system to extract data from the invoice layout where the system did not extract it the first time.

Annotations are comments, notes, explanations, or other types of external remarks that can be attached to a Web document or to a selected part of a document. As they are external, it is possible to annotate any Web document independently, without needing to edit the document itself.

Computers can't process visual information the way human brains do: A computer needs to be told what it's interpreting and provided context in order to make decisions. Data annotation makes those connections.

In machine learning, data annotation is the process of labeling data to show the outcome you want your machine learning model to predict. You are marking - labeling, tagging, transcribing, or processing - a dataset with the features you want your machine learning system to learn to recognize.

Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.