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

Domain:

digital infrastructuregeospatial

Record type:

dataset
Creator:
MOJEL EL EL
Editor:
Uni
Publisher:
Men
Host:avatar
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.

Tasks

computer visionimage classification

Tags

Use of Computers in Earth SciencesGeophysicsFOS: Earth and related environmental sciencesCivil EngineeringFOS: Civil engineeringDeep Learning

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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