Dataset for artificial intelligence

Abstract

Artificial intelligence programs need to be fed with a set of data which allows them to learn patterns in order to solve the required task. These sets must be collected and prepared to be useful for training. For this project the task was to collect a set of image data to later label them so that they can be used to train a program that can predict the position of a person in an image. The theoretical section of the thesis deals with artificial intelligence and its importance, and techniques to deal with an image classification problem. The practical section describes the preparation of the dataset.