Open Buildings 2.5D Temporal Dataset: AI Maps For Worldscape
Open Buildings 2.5D Temporal Dataset, AI-driven maps for an evolving global landscape
To get the best outcomes, It need a number of cloud-free photos. This may be an issue in some very overcast regions
There is a limit to the number of buildings that are smaller than a single picture pixel
Due to Sentinel-2’s reduced input data resolution, it is very challenging to generate the geometrical form of the buildings
A few other technical problems, such as mistakes in picture stitching and a few false positives
Its’ve been able to map populations more accurately by Google’s Open Buildings dataset, and the new Temporal dataset
This kind of data has allowed us to add buildings from all over the globe to Google Maps, increasing its accuracy
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