UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205B71


Registration ID:
403404

Page Number

k531-k537

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Title

Deep Learning based Object Detection using Mask RCNN

Abstract

Object detection aims to acknowledge all instances of a known class of objects in a picture, like people, vehicles, or faces. In recent times deep learning techniques was applied for detecting objects and people existing methods have some problems with viewpoint changes and occlusion. This paper proposes an answer for automatic object detection by implementing instance segmentation at a pixel level, and a number of other RCNN techniques were also inferred during this paper. The proposed Mask RCNN detects the photographs and marks them with bounding boxes, class labels still as masks. The implemented mask RCNN model was trained and tested with COCO dataset in order that the model is capable to detect objects in an exceedingly congested image. The model was also tested during a custom dataset to test the model performance, and therefore the model obtained 94% mAP for the custom dataset. This paper also mentions the long run scope of this work in order that the robustness and also the reliability of the model may be improved further.

Key Words

Computer vision; CNN; Deep learning; Object detection; Mask RCNN; Fast R-CNN

Cite This Article

"Deep Learning based Object Detection using Mask RCNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k531-k537, May-2022, Available :http://www.jetir.org/papers/JETIR2205B71.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Deep Learning based Object Detection using Mask RCNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk531-k537, May-2022, Available at : http://www.jetir.org/papers/JETIR2205B71.pdf

Publication Details

Published Paper ID: JETIR2205B71
Registration ID: 403404
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: k531-k537
Country: Chandrapur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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