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

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DataCite Commons2025-06-01 更新2025-05-07 收录
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https://figshare.com/articles/dataset/A_Large_Crowdsourced_Street_View_Dataset_for_Mapping_Road_Surface_Types_in_Africa/27719577/1
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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) .

该数据集包含来自非洲的Mapillary街景图像及对应的位置数据。街景图像以JPG格式存储,每张图像分配有唯一ID编号,总计200,000张。位置数据以Esri Shapefile格式的点矢量数据表示,每个点包含:唯一街景ID、经度、纬度及路面类型,总计200,000个点。所有数据采用世界大地测量系统(WGS)84和伪墨卡托坐标系(EPSG: 3857)进行投影。
提供机构:
figshare
创建时间:
2025-03-06
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