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A utility application that predicts the expression/emotion given a facial image of a person

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Facial-Expression-Recognition-System

A utility application that predicts the expression/emotion given a facial image of a person


Link to the dataset:

https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data Download the file named fer2013.tar.gz


The problem set consists of 48x48 pixel grayscale images of faces that are centred and occupy about the same amount of space in each image. The task is to categorise each face based on the emotion shown in the facial expression in to one of seven categories (0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral).

To run:

execute the exp_detection.ipynb script to train and test the model


Current accuracy

~ 60 %

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A utility application that predicts the expression/emotion given a facial image of a person

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