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A CNN classification model that achieves 75% accuracy on APTOS 2019 Blindness Detection

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Blindness detection with Artificial Intelligence

A CNN classification model that achieves 74% accuracy on APTOS 2019 Blindness Detection. The data used are from https://www.kaggle.com/c/aptos2019-blindness-detection. It contains large images in high resolution. Clinicians rated the presence of diabetic retinopathy in each image between 0 and 4, according to the following scale:

  1. No DR
  2. Mild
  3. Moderate
  4. Severe
  5. Proliferative DR

Images are decreased to 50x50 in size, since using the large high-resolution images would have slowed down the training significant.

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A CNN classification model that achieves 75% accuracy on APTOS 2019 Blindness Detection

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