IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 95

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Bird Species Image Identification using Deep Learning
Authors Name: Animesh Tade , Atharva kulkarni , Suyog Sulke , Sameer Shah , , Dr. Aparna Pande
Download E-Certificate: Download
Author Reg. ID:
IJNRD_189445
Published Paper Id: IJNRD2305758
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: These days, many inexperienced bird watchers have trouble remembering and identifying all the various bird species. Additionally, in order to save and care for diverse bird species, the general public and newly employed rescue team members lack the ability to do so. They have to go through a difficult process to locate large publications like "Birds of the Indian Subcontinent." In this study, we evaluate a deep learning-based AI model that is good at identifying birds from photographs and provide the results. One of the top Deep Learning techniques, Transfer Learning, is used in the study's Simple Web App to recognise photographs. To become more familiar with Google's InceptionV3 model,1000 photos with annotations for each of the 325 different bird species in the dataset.The article presents empirical studies that evaluate different approaches and yield insightful results. It suggests multiple possibilities for future research in the areas of object recognition and neural network- based machine learning.
Keywords: Deep Learning, InceptionV3, Bird Identification, CNN, ImageNet
Cite Article: "Bird Species Image Identification using Deep Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.h435-h439, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305758.pdf
Downloads: 000118753
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2305758
Registration ID: 189445
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: h435-h439
Country: Pune, Maharashtra, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305758
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305758
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD