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Final Year Project for Bsc in Computer Science at the University Of Birmingham

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Convolutional Neural Network For Ground Truthing

This software uses convolutional neural network and aims to generate a ground truth set in the smallest time possible with a minimum number of human interactions.

#Features

  • Import a folder of images to classify
  • Create an aribtrary number of sets from images
  • Convolutional neural network to train on sets
  • Move items between sets once classified
  • Save\Load sets of images
  • View reports on how the sets and how the network is performing
  • Change various settings such as the number of iterations or learning rate

Screenshots

Initial interface Importing a folder of images Creating sets Images classified Sets created Reports section Settings section

Installation Instructions

Several libraries are required to run the software, and are outlined below:

Then run the following to start the application:

$ cd Framework
$ python __init__.py

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Final Year Project for Bsc in Computer Science at the University Of Birmingham

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