Volume 3 • Issue 1 • PP: 12–19 • 2024
On The Analysis of Some Deep Learning Algorithms for Object Detection and Applications
Open Access & Copyright
© 2024 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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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 their slow performance in light of the world’s dependence on a huge amount of multimedia and social media. The rapid development of deep learning provides 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 and use cases and providing an experimental evaluation of their performance.
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