UGC Approved Journal no 63975(19)

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

Volume 8 Issue 1
January-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIREK06020


Registration ID:
305196

Page Number

83-84

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Title

Object Identification Using Deep Learning

Abstract

We present a new dataset to advance the state-of-the-art in object recognition by placing the question of object identification. Our primary goal is to identify the object that will be upload into our web application. As by seeing the image or any object it is difficult to identify the image our system will be helping to recognize the object within the database of our image which contains thousands of images of living and nonliving objects. So it can easily identify the object.

Key Words

Anaconda python3.6, Keras, TensorFlow, Django

Cite This Article

"Object Identification Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.83-84, January-2021, Available :http://www.jetir.org/papers/JETIREK06020.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

"Object Identification Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp83-84, January-2021, Available at : http://www.jetir.org/papers/JETIREK06020.pdf

Publication Details

Published Paper ID: JETIREK06020
Registration ID: 305196
Published In: Volume 8 | Issue 1 | Year January-2021
DOI (Digital Object Identifier):
Page No: 83-84
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIREK06020
Published Paper PDF: https://www.jetir.org/papers/JETIREK06020

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