Object Detection and Instance Segmentation using Mask R-CNN Algorithm

Dr. Rahul K. Kher; Priyanka Raninga

Object Detection and Instance Segmentation using Mask R-CNN Algorithm

Authors: Dr. Rahul K. Kher, Priyanka Raninga

Unique Paper ID: 149667
Volume: 7
Issue: 1
PageNo: 263-266

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.

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

Object Detection and Instance Segmentation using Mask R-CNN Algorithm

Available:https://ijirt.org/Article?manuscript=149667

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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