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Image Quality Assessment using Deep Learning

Save OCR execution cost by selecting documents

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Created on 12th March 2022

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Image Quality Assessment using Deep Learning

Save OCR execution cost by selecting documents

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The problem Image Quality Assessment using Deep Learning solves

This model takes a decision on multi images means it divides the image into segments and feeds the segments into a model with pre-processing steps and then the output of every segment has some scores. By taking the average, this module can give a final score which can be used to decide image quality.

Challenges I ran into

I have faced the following problems which were changeling to solve

  1. Dataset was not easy to get and not easy to generate
  2. Developing an algorithm for this model took a much back and forth processes.
  3. Time complexity to measure segment-wise image quality

Technologies used

Python

Data Science

Computer Vision

Artificial Neural Network

Discussion

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