Building a model to predict facial expression
The data consists of 48x48 pixel grayscale images of faces.The faces have been automatically registered so that the face is more or less centered and occupies about the same amount of space in each image. The task is to categorize each face based on the emotion shown in the facial expression in to one of seven categories (0=Angry, 1=Happy, 2=Sad, 3=Surprise, 4=Neutral).
The dataset consist of 24269 images out of 60 percent is used for training and 40 percent for validation.
The dataset link is given below: