2836-7863ISSN (Online)
Volume 3 , Issue 1 , PP: 13-26, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Sandy Montajab Hazzouri 1 *
Doi: https://doi.org/10.54216/NIF.030103
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.
Algorithm , Deep learning , Object detection , Model
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