Roodaki/Math-Vision
Fine-tuned the VGG16 model for real-time recognition of handwritten mathematical notations, incorporating dynamic bounding boxes and multi-symbol segmentation for enhanced accuracy.
This application helps educators, students, and anyone needing to digitize handwritten math by recognizing mathematical notations and expressions drawn on a digital canvas. You input handwritten math symbols and equations, and it outputs the corresponding digital math symbols with an accuracy score. It's designed for users who want to convert their handwritten mathematical work into a digital format for tools like educational software or automated grading.
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Use this if you need to quickly and accurately convert handwritten mathematical symbols and expressions into a digital format, especially for educational or note-taking purposes.
Not ideal if you need to process highly complex, multi-line mathematical proofs or diagrams, or if you prefer typing equations rather than handwriting them.
Stars
8
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jul 31, 2024
Commits (30d)
0
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