• Siddaprasad V G
• Dr. Nandini N

In this paper the simple and flexible working and framework for object detection and instance segmentation is being explained. The Mask RCNN method efficiently detects object in an image along with the segmentation mask for every particular instance. The Mask R-CNN method is very easy and simple to train on any datasets. It can be effectively summed up to perform several different tasks as well. For example, evaluating human postures from similar structures. The results obtained from Mask R-CNN method tops in all the three processing stages of COCO datasets [9]. This contains instance segmentation, bounding-box object detection, and individual key point position detection.

"OBJECT DETECTION AND INSTANCE SEGMENTATION IN AN IMAGE USING MASK R-CNN.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.227-231, June 2019, Available :http://www.jetir.org/papers/JETIR1906P35.pdf

"OBJECT DETECTION AND INSTANCE SEGMENTATION IN AN IMAGE USING MASK R-CNN.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp227-231, June 2019, Available at : http://www.jetir.org/papers/JETIR1906P35.pdf