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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM14634

CLASSIFICATION OF VEHICLES USING YOLO

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM14634

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PV

Polasani Varshitha

JSLP

Joginipelli Sri Laxmi Prasanna

NS

Nemmani Swapna

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Abstract

Traffic thickness explicitly internal the jam-packed metropolitan areas is at an unequaled high. It requires profoundly specific and speedy visitors examination frameworks for catching statistics to supply bits of know – how and to commentary inspirations. The data of vehicle traffic gathered over a key measure is wont to find traffic thickness designs and secure bits of knowledge which may be utilized for further developing the traffic the executives.To tackle this issue, during this task we utilized a convolutional brain networks based calculation alluded to as you basically Look Once (Just go for it). This venture makes a begin to site visitors examination framework which may take video in mild of the reality that the information, system the video making use of just go for it calculation and produce the end result file using which astute examination are often acquired. The information is gotten from a reconnaissance digital camera to decide this model.

KEYWORDS

CNN YOLO Classifying vehicles.

Cite This Article

Polasani Varshitha, Joginipelli Sri Laxmi Prasanna, Nemmani Swapna, "CLASSIFICATION OF VEHICLES USING YOLO," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022.

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Publication Date

6/29/2022

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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