Radiant MLHub

ramp Building Footprint Training Dataset - Nairobi, Kenya

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

Documentation

Tools & Applications

Citation

DevGlobal, (2022). ramp Building Footprint Training Dataset - Nairobi, Kenya, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.ldarow

Python Client example

from radiant_mlhub import Dataset

ds = Dataset.fetch('ramp_nairobi_kenya')
for c in ds.collections:
    print(c.id)

Python Client quick-start guide

Download Dataset

Source Imagery Collections

Description

ramp Building Footprint Training Dataset - Nairobi, Kenya - Source Imagery

License

CC-BY-NC-4.0

Collection ID

ramp_nairobi_kenya_source

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Labels Collections

Description

ramp Building Footprint Training Dataset - Nairobi, Kenya - Labels

License

CC-BY-NC-4.0

Collection ID

ramp_nairobi_kenya_labels

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