The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison

Authors

  • Maad M. Mijwil Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq https://orcid.org/0000-0002-2884-2504
  • Karan Aggarwal Electronics and Communication Engineering Department, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India
  • Ruchi Doshi Department of Computer Science and Engineering, Universidad Azteca, Chalco, Mexico
  • Kamal Kant Hiran Department of Computer Science and Engineering, Sir Padampat Singhania University, Udaipur, India
  • Murat Gök Department of Computer Engineering, Yalova University, Yalova, Turkey

DOI:

https://doi.org/10.24203/ajas.v10i5.7064

Keywords:

Artificial intelligence, Deep learning, Convolutional neural network, Artificial neural networks

Abstract

Deep learning techniques have become vital in many fields in the modern era because they are excellent at analysing and predicting real big data to act in different situations. Although it is marvellous in many aspects, it is prone to misinterpretation of data, so teams of experienced specialists cannot be dispensed with in following up on the execution stages of data analysis. Convolutional Neural Network is one of the most significant deep learning techniques. It is widely employed in visual image analysis. In this article, R-CNN and Fast R-CNN are summarised and compared and are the best in image analysis. This article concluded that the most suitable performance is for Fast R-CNN in testing and training.

Author Biography

Maad M. Mijwil, Computer Techniques Engineering Department, Baghdad College of Economic Sciences University, Baghdad, Iraq

Maad M. Mijwil received B.Sc. degree in Software Engineering from Software Engineering Department at Baghdad College of Economics Sciences University, Iraq in 2008/2009 and M.Sc. degree in Wireless sensor network of computer science from University of Baghdad, Iraq in 2015. Currently he is working Assistant Lecturer at Baghdad College of Economics Sciences University.

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2022-11-04

How to Cite

Mijwil, M. M., Aggarwal, K. ., Doshi, R., Hiran, K. K. ., & Gök, M. . (2022). The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison. Asian Journal of Applied Sciences, 10(5). https://doi.org/10.24203/ajas.v10i5.7064

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