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  Published Paper Details:

  Paper Title

OBJECT DETECTION: A DETAILED REVIEW STUDY

  Authors

  Anjali Jindia

  Keywords

Convolutional Neural Networks, Deep Learning Methods, mAP, Object Detection.

  Abstract


There has been rapid development in the research area of deep learning in recent years. Deep learning was used to solve different problems, such as visual recognition, speech recognition and handwriting recognition and has achieved a very good performance. Convolutional Neural Networks (ConvNets or CNNs) are used in deep learning, which are found to give the most accurate results specially in solving object detection problems. In this paper we'll go into summarizing some of the deep learning models used for object detection tasks, performance evaluation metrics for evaluating these models, applications of Object detection, challenges in object detection and its future scope.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2112439

  Paper ID - 214083

  Page Number(s) - e213-e218

  Pubished in - Volume 9 | Issue 12 | December 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Anjali Jindia,   "OBJECT DETECTION: A DETAILED REVIEW STUDY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 12, pp.e213-e218, December 2021, Available at :http://www.ijcrt.org/papers/IJCRT2112439.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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