ramp Building Footprint Training Dataset - N'Djamena, Chad

This chipped training dataset is over N'Djamena 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 3,044 tiles and 124,208 individual buildings. The satellite imagery resolution is 45 cm and was sourced from Maxar ODP (10300100AA405C00). Dataset keywords: Urban, Peri-urban, Rural

Dataset ID	ramp_ndjamena_chad
DOI	10.34911/rdnt.b0noju
Creator	DevGlobal
Contact	info@dev.global

Documentation

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Tools & Applications

Chippy Checker Editor

Citation

DevGlobal, (2022). ramp Building Footprint Training Dataset - N'Djamena, Chad, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.b0noju

Python Client example

from radiant_mlhub import Dataset

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

Python Client quick-start guide

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Source Imagery Collections

Description	ramp Building Footprint Training Dataset - N'Djamena, Chad - Source Imagery
License	CC-BY-NC-4.0
Collection ID	ramp_ndjamena_chad_source
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