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Comparative Analysis of CNN-Based Smart Pre-Trained Models for Object Detection on Dota Cover

Comparative Analysis of CNN-Based Smart Pre-Trained Models for Object Detection on Dota

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 18 (2024): Issue 2 (June 2024)
By: ,   and    
Open Access
|Jun 2024
Authors

Authors

Hina Hashmi

hinahashmi170@gmail.com

College of Computing Sciences & Information Technology, Teerthanker Mahaveer University, Moradabad, India

Rakesh Kumar Dwivedi

dwivedi.rakesh02@gmail.com

College of Computing Sciences & Information Technology, Teerthanker Mahaveer University, Moradabad, India

Anil Kumar

aniliirsisro@gmail.com

Indian Institute of Remote Sensing (IIRS), Indian Space Research Organisation (ISRO), Dehradun, India
DOI: https://doi.org/10.14313/jamris/2-2024/11 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 31 - 45
Submitted on: Apr 24, 2023
Accepted on: Sep 20, 2023
Published on: Jun 23, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
remote sensing images,
CNN,
R-CNN,
transfer learning,
object detection
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2024 Hina Hashmi, Rakesh Kumar Dwivedi, Anil Kumar, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2024): Issue 2 (June 2024)
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