ImageIQ
Elevate your OCR game with unmatched Quality Detection Accuracy
ImageIQ
Elevate your OCR game with unmatched Quality Detection Accuracy
The problem ImageIQ solves
Text recognition errors: OCR quality detection can help identify if the text recognition process is accurate, and if not, what errors have been made.
Image quality: OCR quality detection can evaluate the quality of the image being processed and determine if the image needs to be cleaned up or enhanced before OCR processing.
Accuracy of recognizing special characters: OCR quality detection can check the accuracy of the OCR engine in recognizing special characters, such as punctuation marks and mathematical symbols.
Page layout detection: OCR quality detection can determine if the OCR engine is accurately recognizing the layout of the document, including the position of text, tables, and images.
Challenges we ran into
small dataset provided
Highly generic model therefore thinking outside the box was difficult
first iteration was overfitted model
Tracks Applied (2)
Web/App Development
Our project uses the Django web framework to enable any user with a browser to assess the quality of the images uploaded...Read MoreAI/ML
Our project classifies images into good , moderate or poor for OCR techniques. Our project aims to reduce the time it ta...Read MoreTechnologies used
Discussion