项目作者: manashpratim

项目描述 :
Categorize face based on emotion displayed
高级语言: Jupyter Notebook
项目地址: git://github.com/manashpratim/Facial-Expression-Recognition.git
创建时间: 2019-06-21T06:38:55Z
项目社区:https://github.com/manashpratim/Facial-Expression-Recognition

开源协议:MIT License

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Facial Expression Recognition

Categorize face based on emotion displayed

Description

In this project, I have implemented a Convolutional Neural Network using Tensorflow and Keras to classify facial expression. The Facial Expression Dataset 2013 (https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data) consists of 28709 training images and 7178 test images. The data consists of 48x48 pixel grayscale images of faces. The task is to categorize 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). The model achieved a training accuracy of 99.3% and a validation accuracy of 60.74%.