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Trocr Base Handwritten OCR Handwriting Recognition V2
A fine-tuned handwritten OCR model based on Microsoft's trocr-base-handwritten, achieving a character error rate (CER) of 0.0360 on the evaluation set
Downloads 269
Release Time : 4/17/2023
Model Overview
This model specializes in English handwritten text recognition and serves as a technical demonstration project showcasing complex problem-solving capabilities
Model Features
High-performance Handwriting Recognition
Achieves a low character error rate of 3.6% on the evaluation set
Transformer-based Architecture
Utilizes advanced TrOCR architecture for image-to-text conversion
Fine-tuned Version
Optimized specifically from Microsoft's base model
Model Capabilities
Handwritten text recognition
Image-to-text conversion
English handwritten OCR
Use Cases
Document Digitization
Handwritten Notes Transcription
Convert handwritten notes into editable digital text
Character error rate 3.6%
Historical Document Digitization
OCR processing for historical handwritten documents
Educational Technology
Automatic Homework Grading
Recognize students' handwritten homework answers
Safetensors/Handwriting%20Recognition/Images/Input%20Character%20Length%20Distribution%20for%20Training%20Dataset.png){kind=link}
/Handwriting%20Recognition/Images/Input%20Characgter%20Length%20Distribution%20for%20Evaluation%20Dataset.png){kind=link}
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