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

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.

本数据集包含高分辨率地面穿透雷达（GPR）数据，包括A扫描和B扫描剖面，采用400 MHz和200 MHz频率的雷达天线采集。数据集中收录了2239张地下设施、空洞及完整区域的图像，这些图像是在摩洛哥2019年至2024年间，横跨该国不同城市和乡镇的基础设施项目中采集的。

搜集汇总

背景与挑战

背景概述

该数据集包含2239张高分辨率地面穿透雷达(GPR)图像，采集自摩洛哥各地2019-2024年的基础设施项目，包含地下管线、空洞和完好区域数据，适用于深度学习在地球科学和土木工程领域的应用。