Improving_with_ML

Emotion_Detection_FER2013

Facial Expression Recognition on FER2013 Dataset using Convolutional Neural Networks.

In this project, we try to accurately classify facial expressions into one of seven categories given below.

Angry, Disgust, Fear, Happy, Sad, Surprise, Neutral

Dataset

The dataset for this project can be found at this link:- https://www.kaggle.com/deadskull7/fer2013
Download and upzip the file.
This is a single csv file and contains information about ~ 32300 images.

Model

The model achieved a maximum accuracy of ~ 62%.
You can find the model along with the pre-processing steps in the file Emotion_Detection_Model.ipynb