UGC Approved Journal no 63975(19)

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

Volume 7 Issue 9
September-2020
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2009236


Registration ID:
301136

Page Number

235-238

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Title

SCALABLE DEEP LEARNING LOGO DETECTION

Abstract

Existing brand location techniques commonly consider atiny low assortment of brand classifications and limited pictures per class with a powerful supposition of requiring dull item bouncing box comments, so not during this work, we will in general tackle these difficulties by investigating the cloud information learning rule while not the need for complete manual naming.

Key Words

SCALABLE DEEP LEARNING LOGO DETECTION

Cite This Article

"SCALABLE DEEP LEARNING LOGO DETECTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.235-238, September-2020, Available :http://www.jetir.org/papers/JETIR2009236.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

"SCALABLE DEEP LEARNING LOGO DETECTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp235-238, September-2020, Available at : http://www.jetir.org/papers/JETIR2009236.pdf

Publication Details

Published Paper ID: JETIR2009236
Registration ID: 301136
Published In: Volume 7 | Issue 9 | Year September-2020
DOI (Digital Object Identifier):
Page No: 235-238
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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