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.
1 maintainer
Metadata
1 maintainer
Release files for omniart-eye-classifier 0.1.3
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| File | Interpreter | ABI | Platform | Actions Reset |
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| omniart_eye_classifier-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for omniart_eye_classifier-0.1.3-py3-none-any.whl |
Release files / omniart_eye_classifier-0.1.3-py3-none-any.whl
| Download URL | omniart_eye_classifier-0.1.3-py3-none-any.whl |
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| Size | 42.0 MB |
| Tags | Python 3 |
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