Facial Emotion Detection using CNN

The objective of the project is to detect facial expression using image dataset. Convolutional Neural Network is used to classify the images. The output class consists of 7 different types namely angry, disgust, fear, happy, neutral, sad, surprise.

Dataset Information

The training archive contains 7 different type of human emotions

Dataset link: https://www.kaggle.com/datasets/aadityasinghal/facial-expression-dataset

Environment: Google Colab

The directory structure:

Facial-Emotions-Detection/
	├── train/
        ├── train/
        │   ├── angry/
        │   ├── disgust/
        │       ├── Training_10371709.jpg
        │       ├── Training_10598340.jpg
        │   ├── :
        │   ├── surprise/ 
        └── test/
main/
	└── facial_emotions_detection.ipynb

Libraries

pandas

numpy

matplotlib

seaborn

keras

tensorflow

scikit-learn

japanize-matplotlib

Neural Network

CNN Architecture

Result

Accuracy: ~63.2%