Given an image of a person’s face, the task of classifying the ID of the face is known as face classification. The input to your system will be a face image and you will have to predict the ID of the face.  The ground truth will be present in the training data and the network will be doing an
N-way classification to get the prediction.  You are provided with a validation set for fine-tuning your model.