/human_emotion_detection

This project appears to be an implementation of a Convolutional Neural Network (CNN) for facial expression recognition using the CK+48 dataset. The goal is to train a model to classify facial expressions into seven categories: Anger, Contempt, Disgust, Fear, Happy, Sadness, and Surprise.

Primary LanguageJupyter Notebook

human_emotion_detection

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