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Donutlicenses3v3
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Donutlicenses3v3
Developed by felipebandeira
This model is used to extract structured information from EU driver's license images and return the results in JSON format.
Downloads 54
Release Time : 8/16/2023
Model Overview
A vision-language model based on Transformer or OCR technology, specifically designed to process EU driver's license images, extract key information, and convert it into structured data.
Model Features
High-Precision Information Extraction
Achieves 98% accuracy on the validation set, accurately identifying key information on driver's licenses.
Standardized Output
Returns extracted information in JSON format for easy integration into various systems.
Optimized Image Processing
Specially optimized for high-resolution driver's license images of 1192x772 size.
Model Capabilities
Driver's License Image Analysis
Text Information Extraction
Structured Data Conversion
Use Cases
Identity Verification
Online Driver's License Verification
Automatically verifies user driver's license information in online services.
Reduces manual verification time and improves processing efficiency.
Data Entry
Driver's License Information Digitization
Automatically converts paper driver's license information into digital records.
63.93% accuracy in real driver's license recognition.
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