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Tabletransstructrecog Finetuned Pubt1m Lstabletransstrucrecogv1 Session6

Developed by nsugianto
This model is a table structure recognition model, likely used to extract structural information of tables from documents.
Downloads 67
Release Time : 5/3/2024

Model Overview

This model may be used to identify and extract structural information of tables in documents, supporting row and column recognition and content extraction.

Model Features

Table Structure Recognition
Capable of recognizing table structures in documents, including row and column division and content extraction.
Fine-tuning Optimization
The model has been fine-tuned on specific datasets, potentially improving performance in certain scenarios.

Model Capabilities

Table Structure Recognition
Document Analysis
Content Extraction

Use Cases

Document Processing
Table Data Extraction
Extract table data from PDFs or scanned documents for data analysis and storage.
Automated Report Processing
Automatically identify and process table data in financial reports or research papers.
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