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A Large Crowdsourced Street View Dataset for Mapping Road Surface Types in Africa

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Figshare2025-03-06 更新2026-04-28 收录
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https://figshare.com/articles/dataset/A_Large_Crowdsourced_Street_View_Dataset_for_Mapping_Road_Surface_Types_in_Africa/27719577
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资源简介:
This dataset includes Mapillary street view images and corresponding location data from Africa. The street view images are saved in JPG format, with each image assigned a unique ID number, totaling 200,000 images. The location data is represented as point vector data in Esri Shapefile format, where each point includes: a unique street view ID, longitude, latitude, and road surface type , with a total of 200,000 points. All data are projected using the World Geodetic System (WGS) 84 and the pseudo-Mercator coordinate system (EPSG: 3857) .

本数据集包含来自非洲的马普里(Mapillary)街景图像及其配套位置数据。该街景图像采用JPG格式存储,每张图像均分配有唯一标识符编号,总计200000张。位置数据采用Esri Shapefile格式的点矢量数据存储,每个点包含唯一街景ID、经度、纬度以及路面类型,总计200000个点。所有数据均基于世界大地坐标系(WGS 84)与伪墨卡托坐标系(EPSG: 3857)进行投影。
创建时间:
2025-03-06
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