Understanding the dataset for face emotion recognition

To develop an FER application, we are considering the FER2013 dataset. You can download this dataset from https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data. We need to know the basic details about this dataset. The dataset credit goes to Pierre-Luc Carrier and Aaron Courville as part of an ongoing research project.

This dataset consists of 48x48 pixel grayscale images of faces. The task is to categorize each of the faces based on the emotion that has been shown in the image in the form of facial expressions. The seven categories are as follows, and for each of them there is a numeric label that expresses the category of the emotion:

• 0 = Anger

• 1 = Disgust

• 2 = Fear

• 3 = Happiness

• 4 = Sadness

• 5 = Surprise

• 6 = Neutral

This dataset has the fer2013.csv file. This csv file will be used as our training dataset. Now let's look at the attributes of the file. There are three columns in the...