Future Challenges for Object Detection and Image Recognition Techniques

Bajrami, Buen and Veljanovska, Kostandina and Kotevski, Zoran (2023) Future Challenges for Object Detection and Image Recognition Techniques. In: International conference on Applied Internet and Information Technologies - AIIT2023, 13th October 2023, Bitola, North Macedonia.

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Object detection and object recognition are the two main techniques that enable the
identification of objects in images and videos. These techniques utilize Deep Learning and
Machine Learning by simulating human-like image recognition. There are various methods
developed recently, which have made significant progress in object detection or image
recognition, and therefore, through this work, we present the latest advances in this field and
their operation through Machine Learning and Deep Learning. We discuss the challenges that
appear in object detection and the necessary improvements that must be made in order to
increase the efficiency of this technology. Furthermore, the future challenges for object
recognition has been addressed as well, by providing an analysis on the possibilities of
continuous development and facilitation of these techniques in various domains.

Item Type: Conference or Workshop Item (Paper)
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Information and Communication Technologies
Depositing User: Prof. d-r. Zoran Kotevski
Date Deposited: 10 Dec 2023 20:23
Last Modified: 10 Dec 2023 20:23
URI: https://eprints.uklo.edu.mk/id/eprint/9384

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