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Donut Demo
This is a Donut model fine-tuned on the CORD-v2 dataset, designed for image-to-text tasks, achieving an average accuracy of 0.901.
Downloads 24
Release Time : 1/18/2023
Model Overview
This model is primarily used for extracting text information from images, especially for document image recognition and processing tasks.
Model Features
High Accuracy
Achieves an average accuracy of 0.901 on the CORD-v2 dataset.
Document Image Processing
Optimized specifically for text extraction from document images.
Based on Donut Architecture
Utilizes the advanced Donut model architecture for image-to-text conversion.
Model Capabilities
Document Image Recognition
Text Extraction
Image-to-Text
Use Cases
Document Processing
Receipt Recognition
Extracts structured text information from receipt images.
Accuracy 0.901
Table Extraction
Identifies and extracts table content from document images.
Data Entry Automation
Automated Form Processing
Converts paper forms into digital data.
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