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Pothole detection using computer vision in challenging conditions

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Version 3 2022-09-28, 06:52
Version 2 2022-09-28, 06:47
Version 1 2022-09-27, 11:45
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posted on 2022-09-28, 06:52 authored by Boris BučkoBoris Bučko, Eva LieskovskáEva Lieskovská, Katarína Zábovská, Michal Zábovský

We kindly ask you to cite the following manuscript:  

Bučko, B.; Lieskovská, E.; Zábovská, K.; Zábovský, M. Computer Vision Based Pothole Detection under Challenging Conditions. Sensors 2022, 22, 8878. https://doi.org/10.3390/s22228878  

Thank you!

The dataset consists of 2000+ pothole images taken in various light and weather conditions such as:

  • Clear weather
  • Sunset
  • Evening
  • Night
  • Rain

Images were recorded on vehicle dash camera in the Full HD resolution (1920x1080). Dataset includes pothole annotations for all images which can be used with Yolo.

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