mPLUG-DocOwl 1.5
Unified structural learning model for OCR-free document understanding
Product Details
mPLUG-DocOwl 1.5 is a unified structure learning model dedicated to OCR-free document understanding. It achieves direct understanding of documents through deep learning technology without the need for traditional optical character recognition (OCR) processes. The model can process multiple types of images including documents, web pages, tables and charts, and supports structure-aware document parsing, multi-granularity text recognition and positioning, and question and answer functions. The development background of mPLUG-DocOwl 1.5 is based on the need for automation and intelligence in document understanding, aiming to improve the efficiency and accuracy of document processing. The open source nature of the model also facilitates further research and application in academia and industry.
Main Features
How to Use
Target Users
The target audience is mainly enterprises and research institutions that need automated document processing, such as office automation, document digitization, intelligent customer service and other fields. mPLUG-DocOwl 1.5 can help these users significantly improve the efficiency and quality of document processing and reduce the cost of manual intervention through its high-precision document parsing and understanding capabilities.
Examples
Enterprises can apply mPLUG-DocOwl 1.5 to automated review of contract documents and quickly extract key information.
Educational institutions can use this model to automatically analyze teaching materials and improve the efficiency of teaching resource utilization.
Government departments can use mPLUG-DocOwl 1.5 to process a large number of public documents and provide better public services.
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