Object Detection Using Machine Learning : A Comprehensive Review

Authors

  • Ms. Hetal Bhaidasna  Department of Computer Engineering, PIET-DS, Parul University, Vadodara, Gujarat, India
  • Mr. Zubin Bhaidasna  Department of Computer Engineering, GCET, CVM University, V. V. Nagar, Gujarat, India

DOI:

https://doi.org/10.32628/CSEIT2390215

Keywords:

Object Detection, Machine Learning, Computer Vision, Deep Learning, Convolutional Neural Networks, Feature Extraction

Abstract

This research paper provides a comprehensive review of the advancements in object detection using machine learning techniques. Object detection plays a crucial role in computer vision applications, enabling the identification and localization of objects within images or videos. With the rapid growth of image and video data, machine learning approaches have become increasingly popular due to their ability to learn and recognize objects with high accuracy. This paper aims to explore the various machine learning algorithms and methodologies employed in object detection, including traditional methods and deep learning-based approaches. The findings of this review will provide researchers and practitioners with valuable insights into the advancements, challenges, and future directions in object detection using machine learning.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-05-30

Issue

Volume 9, Issue 3, May-June-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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

How to Cite

[1]
Ms. Hetal Bhaidasna, Mr. Zubin Bhaidasna, " Object Detection Using Machine Learning : A Comprehensive Review" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 3, pp.248-255, May-June-2023. Available at doi : https://doi.org/10.32628/CSEIT2390215