131M American Buildings
Google and Microsoft have both already published building datasets that were produced from satellite imagery but ORNL's focused on adding much more metadata around the address and use of each building. Lightbox, OpenStreetMap (OSM) and several US government agencies supplied data to help enrich this dataset.
Compared to anything I've seen from Microsoft and Google, this dataset appears to have much more accurate building footprints to the point I initially thought they were manually surveyed.
ORNL's developed a convolutional neural networks (CNN) that extracted vector-building footprints from Maxar's WorldView-02, WorldView-03, QuickBird, GeoEye-1 satellite imagery as well as the National Agriculture Imagery Program (NAIP).
I'm using a 6 GHz Intel Core i9-14900K CPU. It has 8 performance cores and 16 efficiency cores with a total of 32 threads and 32 MB of L2 cache. It has a liquid cooler attached and is housed in a spacious, full-sized, Cooler Master HAF 700 computer case. I've come across videos on YouTube where people have managed to overclock the i9-14900KF to 9.1 GHz.
The system has 96 GB of DDR5 RAM clocked at 6,000 MT/s and a 5th-generation, Crucial T700 4 TB NVMe M.2 SSD which can read at speeds up to 12,400 MB/s. There is a heatsink on the SSD to help keep its temperature down. This is my system's C drive.
