UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 9 | Issue 1 | January 2022

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2107568


Registration ID:
313134

Page Number

e507-e511

Share This Article


Jetir RMS

Title

FISH DETECTION AND SPECIES CLASSIFICATION USING MASK RCNN

Abstract

The goal of study is to create a "Fish detection and species categorization using Mask RCNN" model. Faster R-CNN has a variant-called Mask R-CNN. For object identification tasks, the faster R-CNN is commonly used. It returns the class name and bounding box coordinates of each object in the image. Mask R-CNN is simple to set up, and it only adds a little amount of overhead to Faster R-CNN. Mask R-CNN is divided into two phases. The First phase, it generates a premise about the possible locations for an object based on the image. Second phase, based on the primary state proposition, it predicts the object’s class, refines the bounding box, and creates a mask at a pixel level of the object dependent on the primary stage proposition. The system proposes the detection and species classification of the fishes AlbacoreTuna, BigEyeTuna, YellowFinTuna, MoonFish, DolphinFish, Shark. The system provides accuracy of 93%.

Key Words

Object Detection, Region Proposal Network, Bounding Box, Mask R-CNN, Resnet101

Cite This Article

"FISH DETECTION AND SPECIES CLASSIFICATION USING MASK RCNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e507-e511, July-2021, Available :http://www.jetir.org/papers/JETIR2107568.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

"FISH DETECTION AND SPECIES CLASSIFICATION USING MASK RCNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe507-e511, July-2021, Available at : http://www.jetir.org/papers/JETIR2107568.pdf

Publication Details

Published Paper ID: JETIR2107568
Registration ID: 313134
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: e507-e511
Country: Kolar, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000157

Print This Page

Current Call For Paper

Jetir RMS