A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision

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Published: 2024-02-11
DOI: https://doi.org/10.58496/BJML/2024/004
Keywords:
Computer Vision, Deep Learning, Machine Learning, Supervised Learning, Techniques

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Ahmed Adil Nafea
Department of Artificial Intelligence, College of Computer Science and IT, University of Anbar, Ramadi, Iraq.
https://orcid.org/0000-0003-2293-1108
Saeed Amer Alameri
Department of Information Technology, Seiyun University, Hadhramout, Yemen.
https://orcid.org/0009-0002-8335-8480
Russel R Majeed
College of Education for Pure Sciences, University of Thi-Qar, Thi-Qar, Iraq.
https://orcid.org/0009-0002-4327-9067
Meaad Ali Khalaf
Department of Computer Science, AUL University, Beirut, Lebanon.
https://orcid.org/0009-0002-0463-2876
Mohammed M AL-Ani
Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia
https://orcid.org/0000-0003-1649-3201

Abstract

In last years, computer vision has shown important advances, mainly using the application of supervised machine learning (ML) and deep learning (DL) techniques. The objective of this review is to show a brief review of the current state of the field of supervised ML and DL techniques, especially on computer vision tasks. This study focuses on the main ideas, advantages, and applications of DL in computer vision and highlights their main concepts and advantages. This study showed the strengths, limitations, and effects of computer vision supervised ML and DL techniques.

Article Details

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Vol. 2024 (2024)

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Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision (A. A. Nafea, S. A. Alameri, R. R. Majeed, M. A. Khalaf, & M. M. AL-Ani , Trans.). (2024). Babylonian Journal of Machine Learning, 2024, 48-55. https://doi.org/10.58496/BJML/2024/004