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Trocr Base Ru
TrOCR-Ru is an optical character recognition model fine-tuned on synthetic datasets of Russian and English, based on microsoft/trocr-base-handwritten, focusing on image-to-text tasks.
Downloads 30
Release Time : 5/15/2024
Model Overview
This model is primarily used for optical character recognition (OCR) tasks, capable of identifying and extracting Russian and English text from images.
Model Features
Multilingual Support
Supports Russian and English text recognition
High-performance OCR
Performs excellently on HKR and Cyrillic datasets, with accuracy up to 72.36%
Large-scale Data Training
Fine-tuned on large-scale synthetic datasets provided by nastyboget
Model Capabilities
Russian text recognition in images
English text recognition in images
Handwritten text recognition
Printed text recognition
Use Cases
Document Digitization
Russian Document Scanning
Convert paper Russian documents into editable electronic text
Accuracy around 70%
Multilingual OCR
Bilingual Text Recognition
Recognize mixed text images containing both Russian and English
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