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  Published Paper Details:

  Paper Title

OBJECT DETECTION AND IMAGE CLASSIFICATION

  Authors

  Pragati Raj,  Saksham Trivedi,  Aarsh Agrawal,  Puneet Pushkar

  Keywords

Support Vector Machine (SVM), Artificial Neural Network (ANN), Firebase-Ml KIT, Synthetic Aperture Radar(SAR).

  Abstract


In this paper, we study the latest methodologies and methods of object detection and image classification. Object detection is a method for computer vision to identify instances of objects in pictures or videos and Image classification is a complicated process that relies on different variables. Algorithms for object detection usually use machine learning or deep learning to generate useful results. When humans look at photographs or videos, within a matter of moments, we can identify and locate objects of interest. The purpose of object detection is to use a computer to reproduce this intelligence. Here, we speak about the latest methods, challenges, as well as image classification prospects. The main emphasis will be on advanced methods of classification that are used to increase the precision of classification. Furthermore, some major problems related to classification results are also addressed.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2011132

  Paper ID - 200430

  Page Number(s) - 1088-1092

  Pubished in - Volume 8 | Issue 11 | November 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Pragati Raj,  Saksham Trivedi,  Aarsh Agrawal,  Puneet Pushkar,   "OBJECT DETECTION AND IMAGE CLASSIFICATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 11, pp.1088-1092, November 2020, Available at :http://www.ijcrt.org/papers/IJCRT2011132.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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