Used Convolutional Neural Network (CNN) for facial expression recognition. The goal is to classify image into one of the seven facial emotion categories considered
Trained and tested our model on the FER2013 dataset, which consists of pixel values of size 48x48 grayscale images, and labeled with one of 7 emotion categories: Anger, Disgust, Fear, Happy, Sad, Surprise, Neutral.
The dataset contains 35,886 images
- Python3
- numpy
- Tensorflow & Keras
- OpenCv