A CNN that can classify eyes by their respective colour
Project description
OmniArt Eye Classifier
This package is an (painted) eye colour classifier. It is trained on a dataset of 2600 different painted eyes that were extracted from the OmniArt dataset.
The model achieved an accuracy of 83% for following ten classes:
amber, blue, brown, gray, grayscale, green, hazel, irisless, negative, red.
The negative is used to classify images that are not eyes, or where, for example, the eye lid is closed.
Project origin
This package is part of a Master's thesis at the University of Amsterdam.
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