Object Detection and Instance Segmentation using Mask R-CNN Algorithm
Author(s):
Dr. Rahul K. Kher, Priyanka Raninga
Keywords:
Mask R-CNN, Segmentation, Object detection, Python
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.
Article Details
Unique Paper ID: 149667

Publication Volume & Issue: Volume 7, Issue 1

Page(s): 263 - 266
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews