This chipped training dataset is over Nairobi 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 2 dataset, meaning it has NOT been thoroughly reviewed and improved. This dataset was produced for the ramp project and contains 1,195 tiles and 24,707 individual buildings. The satellite imagery resolution is 30 cm and was sourced from Maxar ODP (KE_Nairobi_19Q2_V0_R3C2). Dataset keywords: Urban, Peri-urban, Rural
Dataset ID | ramp_nairobi_kenya |
DOI | 10.34911/rdnt.ldarow |
Creator | DevGlobal |
Contact | info@dev.global |
DevGlobal, (2022). ramp Building Footprint Training Dataset - Nairobi, Kenya, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.ldarow
from radiant_mlhub import Dataset ds = Dataset.fetch('ramp_nairobi_kenya') for c in ds.collections: print(c.id)
Description | ramp Building Footprint Training Dataset - Nairobi, Kenya - Source Imagery |
License | CC-BY-NC-4.0 |
Collection ID | ramp_nairobi_kenya_source |
Download | |
Description | ramp Building Footprint Training Dataset - Nairobi, Kenya - Labels |
License | CC-BY-NC-4.0 |
Collection ID | ramp_nairobi_kenya_labels |
Download | |