Object Detection and Instance Segmentation using Mask R-CNN Algorithm

  • Unique Paper ID: 149667
  • Volume: 7
  • Issue: 1
  • PageNo: 263-266
  • Abstract:
  • In the ever-advancing field of computer vision, image processing plays a prominent role. We can extend the applications of Image processing into solving real-world problems like substantially decreasing Human interaction over the art of driving. In the process of achieving this task, we face several challenges like Segmentation and Detection of objects. Mask RCNN is the superior model over the existing CNN models and yields accurate detection of objects more efficiently. In this paper, a mask R-CNN algorithm has been implemented using Python and the object detection results are shown.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{149667,
        author = {Dr. Rahul K. Kher and Priyanka Raninga},
        title = {Object Detection and Instance Segmentation using Mask R-CNN Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {1},
        pages = {263-266},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149667},
        abstract = {In the ever-advancing field of computer vision, image processing plays a prominent role. We can extend the applications of Image processing into solving real-world problems like substantially decreasing Human interaction over the art of driving. In the process of achieving this task, we face several challenges like Segmentation and Detection of objects. Mask RCNN is the superior model over the existing CNN models and yields accurate detection of objects more efficiently. In this paper, a mask R-CNN algorithm has been implemented using Python and the object detection results are shown.},
        keywords = {Mask R-CNN, Segmentation, Object detection, Python},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 7
  • Issue: 1
  • PageNo: 263-266

Object Detection and Instance Segmentation using Mask R-CNN Algorithm

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