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Trocr Handwritten Math
T
Trocr Handwritten Math
Developed by Azu
This model can convert images of handwritten mathematical expressions into corresponding LaTeX sequences, suitable for mathematical formula recognition and digital processing.
Downloads 46
Release Time : 3/11/2022
Model Overview
This model is primarily used to recognize images of handwritten mathematical expressions and generate corresponding LaTeX sequences, facilitating digital processing and editing of mathematical formulas.
Model Features
High Accuracy Recognition
On the CROHME 2014 test dataset, the character error rate (CER) is 0.507772718700326, demonstrating excellent performance.
Supports Complex Mathematical Expressions
Capable of recognizing handwritten expressions including fractions, roots, subscripts, superscripts, and other complex mathematical symbols.
LaTeX Output
Generates standard LaTeX sequences, making them easy to use directly in academic papers and technical documents.
Model Capabilities
Handwritten Math Expression Recognition
LaTeX Sequence Generation
Image-to-Text Conversion
Use Cases
Education
Math Homework Grading
Automatically recognizes students' handwritten math homework answers and converts them into LaTeX format for easier grading and archiving.
Improves grading efficiency and reduces manual errors.
Academic Research
Paper Formula Digitization
Converts handwritten or scanned mathematical formulas into LaTeX code for easy editing and typesetting.
Saves researchers time and improves paper writing efficiency.
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