This chipped training dataset is over Bentiu and includes high-resolution imagery (.tif format) and corresponding building footprint vector labels (.geojson format) in 256 x 256 pixel tile/label pairs. This dataset is a ramp Tier 1 dataset, meaning it has been thoroughly reviewed and improved. This dataset was used in developing the ramp baseline model and contains 1,789 tiles and 22,396 individual buildings. The satellite imagery resolution is 35 cm and was sourced from Maxar ODP (104001004DAECE00). Dataset keywords: Refugee Settlement, Rural.
DevGlobal, (2022). ramp Building Footprint Training Dataset - Bentiu, South Sudan, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.wnuc7e
from radiant_mlhub import Dataset ds = Dataset.fetch('ramp_bentiu_south_sudan') for c in ds.collections: print(c.id)
ramp Building Footprint Training Dataset - Bentiu, South Sudan - Source Imagery
ramp Building Footprint Training Dataset - Bentiu, South Sudan - Labels