Emotion Detection and Expression Editing using Variational Autoencoders and Latent Space Arithmetic

The goal of this project is to classify the emotion expressed by a person based on their facial features in an image. While expressions are usually good indicators of emotions, they are not always accurate. Any bias that may be observed in the model is unintended.

We have also experimented with blending images of different emotions to create new ones, which are exciting and interesting. These are achieved using variational autoencoders

To have a look at the code please follow [this] link to the colab notebook