On The Analysis of Some Deep Learning Algorithms for Object Detection and Applications

Sandy Montajab Hazzouri

Faculty of Informatics Engineering, Albaath University, Syria

Samonhaco1994@gmail.com

Abstract

The traditional methods of discovering objects no longer meet the requirements of the times as a result of their reliance on non-dynamic methods and as a result of their slow performance in light of the world's dependence on a huge amount of multimedia and social media. With the rapid development of deep learning providing more powerful tools capable of manipulating high-level and complex semantic features of objects. Several techniques have been developed to detect objects using deep learning algorithms. This research presents a comparative analysis of the most famous deep learning techniques for object detection, explaining their mechanisms, use cases and an experimental evaluation of their performance.

Keywords: Algorithm; Deep learning; Object detection; Model