Which OCI vision feature is used to identify whether a document is an invoice, receipt, or resume?

Which OCI vision feature is used to identify whether a document is an invoice, receipt, or resume?

• A. Image recognition
• B. Document classification
• C. Optical character recognition
• D. Feature extraction

Answer: (B)

The feature used to identify whether a document is an invoice, receipt, or resume is document classification. Document classification refers to the process of categorizing documents into predefined classes based on their content. In the context of OCI's vision capabilities, this entails training a model to recognize patterns, keywords, and structures that are characteristic of different document types. For instance, an invoice typically has a specific layout, sections for billing information, and may include tables for itemized charges, while a resume usually contains personal information, work experience, and education history. By analyzing these attributes, a document classification model can effectively determine the type of document it is dealing with. Features like image recognition, optical character recognition, and feature extraction are related but serve different purposes. Image recognition generally focuses on identifying objects or patterns within images without categorizing documents specifically. Optical character recognition is more about converting images of text into digital text, which is a vital process that happens before classification but does not itself classify documents. Feature extraction involves identifying key attributes from data for further processing, but the primary task of categorizing the document types falls squarely under document classification.

The feature used to identify whether a document is an invoice, receipt, or resume is document classification. Document classification refers to the process of categorizing documents into predefined classes based on their content. In the context of OCI's vision capabilities, this entails training a model to recognize patterns, keywords, and structures that are characteristic of different document types.

For instance, an invoice typically has a specific layout, sections for billing information, and may include tables for itemized charges, while a resume usually contains personal information, work experience, and education history. By analyzing these attributes, a document classification model can effectively determine the type of document it is dealing with.

Features like image recognition, optical character recognition, and feature extraction are related but serve different purposes. Image recognition generally focuses on identifying objects or patterns within images without categorizing documents specifically. Optical character recognition is more about converting images of text into digital text, which is a vital process that happens before classification but does not itself classify documents. Feature extraction involves identifying key attributes from data for further processing, but the primary task of categorizing the document types falls squarely under document classification.