/Facial-Expression-Recognition

The aim is to build and train a model to recognize facial expressions. The objective is to classify each face based on the emotion shown in the facial expression into one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral). Directly serve the trained model to a web interface and perform real-time facial expression recognition on video and image data.

Primary LanguageJupyter Notebook

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