datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Datacenter-watchhyperscale-datacenter-segmentation-naip
Hyperscale Data Center Segmentation (NAIP)
Hand-digitized training data for detecting hyperscale data center
footprints in aerial imagery, with a trained baseline model.
Contents
path
what it is
datacenters.geojson
190 hand-digitized data center footprint polygons (QGIS; named facilities, e.g. vantage_0)
chips/
757 NAIP aerial chips, 256×256 px, 4-band RGBN, 0.6 m resolution (GeoTIFF, georeferenced) — labeled facilities plus surrounding negatives… See the full description on the dataset page: https://huggingface.co/datasets/rbhughes/hyperscale-datacenter-segmentation-naip.
