Intelligent recognition of subsurface utilities and voids: A Ground Penetrating Radar dataset for Deep Learning applications

Published: 28 November 2024| Version 1 | DOI: 10.17632/ww7fd9t325.1
Contributors:
,
,
,
, Hamou AITBENAMER

Description

The dataset consists of high-resolution Ground Penetrating Radar (GPR) data, specifically A-scan and B-scan profiles, obtained using antennas operating at 400 MHz and 200 MHz. This dataset contains 2239 images of buried utilities, voids, and intact zones, acquired across various infrastructure projects in Morocco between 2019 and 2024. These projects are located in different cities and towns across the country.

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Institutions

Universite Mohammed V de Rabat Institut Scientifique

Categories

Use of Computers in Earth Sciences, Geophysics, Civil Engineering, Deep Learning

Licence