ramp Building Footprint Training Dataset - Bentiu, South Sudan
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.
Dataset ID | ramp_bentiu_south_sudan |
DOI | 10.34911/rdnt.wnuc7e |
Creator | DevGlobal |
Contact | info@dev.global |
Documentation
Tools & Applications
Citation
DevGlobal, (2022). ramp Building Footprint Training Dataset - Bentiu, South Sudan, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.wnuc7e
Python Client example
from radiant_mlhub import Dataset
ds = Dataset.fetch('ramp_bentiu_south_sudan')
for c in ds.collections:
print(c.id)
Download Dataset
Source Imagery Collections
Description | ramp Building Footprint Training Dataset - Bentiu, South Sudan - Source Imagery |
License | CC-BY-NC-4.0 |
Collection ID | ramp_bentiu_south_sudan_source |
Download | |
Labels Collections
Description | ramp Building Footprint Training Dataset - Bentiu, South Sudan - Labels |
License | CC-BY-NC-4.0 |
Collection ID | ramp_bentiu_south_sudan_labels |
Download | |
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