Donut Base Sroie
A document understanding model fine-tuned based on philschmid/donut-base-sroie
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Release Time : 11/3/2022
Model Overview
This model is a document understanding model based on the Donut architecture, specifically fine-tuned for the SROIE dataset to extract structured information from images.
Model Features
Document Image Understanding
Capable of extracting structured information from scanned documents or images
End-to-End Processing
Directly generates structured output from image input without OCR preprocessing
Fine-Tuning Optimization
Specially optimized for the SROIE dataset to enhance receipt information extraction performance
Model Capabilities
Text recognition in images
Structured information extraction
Receipt information parsing
End-to-end document understanding
Use Cases
Document Processing
Receipt Information Extraction
Automatically extracts merchant name, date, amount, and other information from scanned receipt images
Table Data Extraction
Extracts table data from document images and converts it into structured format
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