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