Emotion Detection Through Human Face Images Using Deep Learn

Implemented CNN model(tiny VGG) with 5 Convolutional Layers to classify Images into 5 emotion categories- Angry,Happy,Surprised,Sad,Neutral.Got a training accuracy of around 70 percent and Validation accuracy of around 60 percent.Implemented using OpenCV library ,to get real time lmage of Face from Webcam and Give the output as which emotion class it belongs to.