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  Published Paper Details:

  Paper Title

OBJECT IDENTIFICATION USING YOLO ALGORITHM

  Authors

  Binny.S,  Cina Mathew,  Cini Joseph

  Keywords

CNN, YOLO, Bounding Boxes, FCNN

  Abstract


- The aim is to identify object using the You Only Look Once (YOLO) method. Comparing this method to other identification algorithms, reveals that it offers limited benefits. In algorithms like Convolutional Neural Network(CNN), Fast-Convolutional Neural Network(FCNN) the algorithm does not take the picture totally, but using YOLO algorithm it takes the picture totally. The YOLO algorithm does the detection by using the bounding boxes. In these cases, the class probabilities make it easier to differentiate the image better when compared to other algorithms.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2207446

  Paper ID - 223044

  Page Number(s) - d377-d380

  Pubished in - Volume 10 | Issue 7 | July 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Binny.S,  Cina Mathew,  Cini Joseph,   "OBJECT IDENTIFICATION USING YOLO ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.d377-d380, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207446.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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