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  Published Paper Details:

  Paper Title

Drive On Pothole And Sign Detection

  Authors

  Akshay T,  Anugrah K,  Avinash M P,  C S Girish,  Betsy Joy

  Keywords

Pothole, deep learning, Convolutional neural network

  Abstract


In regions like India, where road maintenance is a significant challenge and potholes pose a severe threat to drivers, the need for automated detection solutions is paramount. This paper addresses this challenge by creating a new dataset comprising 1500 images of Indian roads and annotating it for training a deep learning model using YOLO v7. Despite the lack of existing pothole datasets specific to India, leveraging convolutional neural networks (CNNs) proves effective in detecting these hazards. By harnessing the power of deep learning, this approach offers a cost-effective and efficient solution for identifying potholes and road traffic signs which contributing to improved road safety and accident prevention in high-risk areas like India.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A4965

  Paper ID - 259059

  Page Number(s) - r70-r74

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Akshay T,  Anugrah K,  Avinash M P,  C S Girish,  Betsy Joy,   "Drive On Pothole And Sign Detection", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.r70-r74, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4965.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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