Python code to identify players name frequency from images
Budget: ₹1,500 – ₹12,500 INR
I am looking for a Python code that can analyze images of fantasy sports teams and identify the frequency of players' names with high accuracy (90-100%). The code should be able to work for any sport, as I do not have a specific sport in mind.
Skills and experience required for this project include:
- Strong proficiency in Python programming language
- Experience with image analysis and processing
- Knowledge of OCR (Optical Character Recognition) techniques
- Familiarity with machine learning algorithms and techniques
- Attention to detail and ability to achieve high accuracy in data extraction
- Ability to work with large datasets and handle image processing efficiently
If you have previous experience developing similar projects and can provide a portfolio or examples of your work, that would be highly desirable.
Skills and experience required for this project include:
- Strong proficiency in Python programming language
- Experience with image analysis and processing
- Knowledge of OCR (Optical Character Recognition) techniques
- Familiarity with machine learning algorithms and techniques
- Attention to detail and ability to achieve high accuracy in data extraction
- Ability to work with large datasets and handle image processing efficiently
If you have previous experience developing similar projects and can provide a portfolio or examples of your work, that would be highly desirable.
Related categories:
Python
Matlab and Mathematica
Software Architecture
Machine Learning (ML)
Data Mining