OCR Image Conversion with CNN & ViT
Budget: ₹1,500 – ₹12,500 INR
For this unique project, I'm starting from scratch. I aim to create a comparative study between two models, Convolutional Neural Network (CNN) and Vision Transformer (ViT) model. These will be used for an OCR system, essentially to convert images of various mathematical expressions and notations into Latex code.
The programming language that will be used is Python.
Key Responsibilities:
- Developing the OCR system using CNN and ViT models.
- Measuring the accuracy of these models.
- Handling conversion of images of different mathematical expressions and notations which would include:
- Simple algebraic equations
- Advanced calculus expressions
- Complex geometrical notations
Ideal Skills and Experience:
- Proficient in Python programming.
- Experience in working with OCR technology.
- Knowledge and experience with CNN and ViT models.
- Familiarity with Latex code is a great advantage.
- Adept at handling mathematical conversions.
I'm excited to see your bids and find someone with the right skills to bring this OCR project to life.
The programming language that will be used is Python.
Key Responsibilities:
- Developing the OCR system using CNN and ViT models.
- Measuring the accuracy of these models.
- Handling conversion of images of different mathematical expressions and notations which would include:
- Simple algebraic equations
- Advanced calculus expressions
- Complex geometrical notations
Ideal Skills and Experience:
- Proficient in Python programming.
- Experience in working with OCR technology.
- Knowledge and experience with CNN and ViT models.
- Familiarity with Latex code is a great advantage.
- Adept at handling mathematical conversions.
I'm excited to see your bids and find someone with the right skills to bring this OCR project to life.