This project aims to classify the emotion on a person's face into one of seven categories.
- angry
- disgusted
- fearful
- happy
- neutral
- sad
- surprised
using deep convolutional neural networks. The model is trained on the FER-2013 dataset which was published on International Conference on Machine Learning (ICML). This dataset consists of 35887 grayscale, 48x48 sized face images with seven emotions - angry, disgusted, fearful, happy, neutral, sad and surprised.