Deep learning model for object detection

Abstract

Machine learning is entering in the everyday life of people in different forms. The reasons for this are the continuous development of computer systems, the increase of their computing power and the increase of data stored on electronic media. The main goals of developing self-learning models are to improve or replace existing methods for processing large amounts of information, to improve the services offered by different institutions, and generally to improve and facilitate the lifestyle of modern man. Machine learning can be used to detect complex relationships between a large set of input data, making it an appropriate method for solving a wide range of issues in different spheres such as Bioinformatics, Computer networks, Computer vision, Marketing, Medicine, Natural Language Processing (NLP) and many others.