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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
A DEEP LEARNING BASED APPROACH TO DETECT POTHOLES USING YOLO VERSION 7
Authors
Kaushik Goswami, Soumyadip Chattopadhyay, Arka Kundu
Keywords
Potholes, YOLO, CNN, Single Shot Detection, IoU, Detection, Craters, Road, Highway, Accident, Deep Learning
Abstract
This paper is intended to study and develop a custom trained machine learning model which can detect potholes on road in real-time. Potholes and Road Craters are one of the key contributors of the numbers of accidents take place each year. A comparison for selection of object detection algorithm has been done in this paper. The proposed solution uses You Only Look Once (YOLO) version 7 object detection algorithm to train and be able to detect potholes and road craters. After training the model with the custom dataset, the model has achieved a precision of 0.94, recall value of 0.98. The mAP of the proposed solution 94.76%. The solution is able to detect potholes in both daylit and low-light real-time scenarios.
IJCRT's Publication Details
Unique Identification Number - IJCRT2301187
Paper ID - 229848
Page Number(s) - b479-b490
Pubished in - Volume 11 | Issue 1 | January 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Kaushik Goswami, Soumyadip Chattopadhyay, Arka Kundu, "A DEEP LEARNING BASED APPROACH TO DETECT POTHOLES USING YOLO VERSION 7", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 1, pp.b479-b490, January 2023, Available at :http://www.ijcrt.org/papers/IJCRT2301187.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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