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CNN that predicts the age and gender of an individual from a given set of categories.

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image-demographer

This is a project that uses the UTKFace dataset from Kaggle, a dataset that consists of over $20,000$ face images with annotations of age, gender, and ethnicity. The dataset is pulled using Kaggle's API in script.py.

The model built is a Convolutional Neural Network (CNN) in build.py that predicts the age and gender of an individual from the given categories defined in the original dataset. Only binary gender is predicted with a rough degree of accuracy (85-90%), with age being considerably more difficult to predict.

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CNN that predicts the age and gender of an individual from a given set of categories.

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