UGC Approved Journal no 63975(19)

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

Volume 9 Issue 11
November-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2211377


Registration ID:
504591

Page Number

d567-d570

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Title

Bird Species Image Identification using Transfer Learning

Abstract

Nowadays, many new fellow Bird Watchers are having a hard time remembering all the bird species and identifying them. Also, common people and newly joined rescue team members are not able to identify bird species to be able to rescue them and treat them. They have to go through a hard way of identifying thick books like “Birds of Indian Subcontinent”. In this project paper, we evaluate and show the result of Deep Learning based AI Model which is useful for identifying birds using their images. The paper shows a Simple Web App which uses Transfer Learning, which is one of the best Deep Learning techniques, to identify images. We are going to use the InceptionV3 model made by google to get trained on the dataset of 325 different bird species having 1000 images per species with labels.

Key Words

Deep Learning, InceptionV3, Bird Identification, Computer Vision, ImageNet

Cite This Article

"Bird Species Image Identification using Transfer Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.d567-d570, November-2022, Available :http://www.jetir.org/papers/JETIR2211377.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

"Bird Species Image Identification using Transfer Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppd567-d570, November-2022, Available at : http://www.jetir.org/papers/JETIR2211377.pdf

Publication Details

Published Paper ID: JETIR2211377
Registration ID: 504591
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier):
Page No: d567-d570
Country: Pune, Maharastra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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