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Code for the kaggle challenge: Diabetic Retinopathy Detection (TensorFlow)

Python 100.00%

diabetic_retinopathy_detection's Introduction

Diabetic Retinopathy Detection Challenge (Kaggle)

This repository contains tensorflow code for the kaggle challenge: Diabetic Retinopathy Detection.

@Author: Aman Rana


The datset details are as follows:

  • data: This folder contains the following folders
  • train: This folder contains the training images. There are 300 RGB images of the original dataset.
  • test: This folder contains the testing images. There are 180 RGB images of the original dataset.
  • trainLabels.csv: This file cotains labels for all the training images.

The code for this project is contined within the two files:

  1. run.py: This python file is the starting point of the code. It processes the images and uses a custom generator to create batches of any desired size and calls the model.py file for training the model
  2. model.py: This file contains code for creation of the Convolutional Neural Network (CNN) model and training based on the training batch passed by run.py file.

Note: Since my laptop is not very powerful and I have installed tensorflow usinf conda (no GPU support via anaconda), I have used a small subset of the original dataset for training. I am uploading an even smaller subset of the original kaggle dataset. The original dataset can be downloaded here

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