hpouralireza / facial_emotion_recognition

Emotion recognition with the FER-2013 Dataset

Facial Emotion Recognition (FER)

This project has been implemented in two methods:

1. The first method is using a pre-trained model from the deepFace module.
2. The second method involves creating and training a model using the FER-2013 dataset with 7 emotion types, which is available on Kaggle.

Both methods have the capability to detect 7 types of emotions, and the mentioned models are as follows:

• Angry
• Disgusted
• Fearful
• Happy
• Sad
• Surprised
• Neutral

Some results:

With comparing the two trained models using the same input, it can be concluded that the deepFace model has lower accuracy compared to the our trained model with the dataset.