UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2305922


Registration ID:
516450

Page Number

i753-i756

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Title

Bird Species Identification Using Deep Learning

Abstract

For amateur Bird watchers and ornithologists It is simpler to identify birds in the photographs. Now, diverse bird species can be classified using the Google Net framework and deep convolutional neural network (DCNN) technology . This paper proposes on Bird species identification using deep Learning.

Key Words

Autograph, DCNN, Tensorflow

Cite This Article

"Bird Species Identification Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.i753-i756, May-2023, Available :http://www.jetir.org/papers/JETIR2305922.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 Identification Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppi753-i756, May-2023, Available at : http://www.jetir.org/papers/JETIR2305922.pdf

Publication Details

Published Paper ID: JETIR2305922
Registration ID: 516450
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: i753-i756
Country: K.G.F, KARNATAKA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2305922
Published Paper PDF: https://www.jetir.org/papers/JETIR2305922

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