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

Domaine:

geospatial

Type de record:

dataset
Créateur:
Jie
Hôte:avatar

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) .

Visit

figshare.com

Tasks

computer visionimage classification

Tags

Earth and space science informaticsMapillary,Deep learning models，Road Surface Types,Crowdsourced Street View

Licenses

CC BY 4.0

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Poster presented at the Deep Learning Indaba 2022 by Emily Muller