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Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.

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emotion-classification-cnn-using-keras.ipynb

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haarcascade_frontalface_default.xml

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main.py

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Emotion_Detection_CNN_keras

We will use 7 emotions namely - 'Angry'😠, 'Disgust'🤢, 'Fear'😱, 'Happy'😇, 'Neutral'😐, 'Sad'☹️, 'Surprise'😲 to train and test our algorithm using Convolution Neural Networks. Screenshot (237)
Screenshot (259)

You need a dataset with different emotions :

image

Given dataset of different expressions on kaggle:

https://www.kaggle.com/jonathanoheix/face-expression-recognition-dataset

Screenshot (249)

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Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.

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machine-learning keras neural-networks face-recognition convolutional-neural-networks emotion-detection

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