The Mapillary API can be used to retrieve point and line data, indicating relative or precise locations of map features. Mapillary computer vision derived over 100 types of real world objects from images, generating new data as a result. Comparing these data against ground truth from OpenStreetMap, government open data, and other sources illustrates how Mapillary can be used to enrich existing datasets. Let’s explore how to make these comparisons in web applications, Python scripts, and GIS tools.
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Previous talkOpenStreetMap in World Bank Operations: Analyzing Green Space in Tbilisi, Georgia
The World Bank is increasingly using OSM in its spatial analysis to support operational decision making. A great example is a recent dialogue the World Bank has had with the municipal government...
