sakura2233565548/TabPedia
This repository is the codebase of TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
This project helps operations engineers or data analysts who need to extract and understand information from images of tables. It takes an image containing a table as input and extracts the table's structure and content, answering questions about the data within it. The output is structured information and answers derived from the visual table, enabling automated data processing from visual sources.
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Use this if you need to automatically interpret and extract data from images of tables, like scanned documents or dashboards, to answer specific questions.
Not ideal if your tables are already in a structured, machine-readable format like Excel or CSV, or if you only need simple text extraction without understanding the table's layout or data relationships.
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50
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2
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 16, 2024
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