Description:
In this project, I developed a Facial Expression Recognition system using Convolutional Neural Networks (CNN) to accurately classify facial expressions in images into seven different categories: anger, contempt, disgust, fear, happiness, sadness, and surprise. The dataset used for training and testing consisted of facial images from the CK+48 dataset,with a total of 981 samples.
Results:
Test Accuracy: Approximately 99.5% Test Loss: 0.0277