ramp Building Footprint Training Dataset - Cox's Bazar, Bangladesh
This chipped training dataset is over Cox's Bazaar 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 the development and testing of a localized ramp model and contains 2,375 tiles and 26,875 individual buildings. The satellite imagery resolution is 35 cm and was sourced from Maxar ODP (10400100546E3700). Dataset keywords: Agricultural, Peri-urban, Rural
Dataset ID | ramp_coxs_bazar_bangladesh |
DOI | 10.34911/rdnt.xrlqp1 |
Creator | DevGlobal |
Contact | info@dev.global |
Documentation
Tools & Applications
Citation
DevGlobal, (2022). ramp Building Footprint Training Dataset - Cox's Bazar, Bangladesh, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.xrlqp1
Python Client example
from radiant_mlhub import Dataset
ds = Dataset.fetch('ramp_coxs_bazar_bangladesh')
for c in ds.collections:
print(c.id)
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Source Imagery Collections
Description | ramp Building Footprint Training Dataset - Cox's Bazar, Bangladesh - Source Imagery |
License | CC-BY-NC-4.0 |
Collection ID | ramp_coxs_bazar_bangladesh_source |
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Labels Collections
Description | ramp Building Footprint Training Dataset - Cox's Bazar, Bangladesh - Labels |
License | CC-BY-NC-4.0 |
Collection ID | ramp_coxs_bazar_bangladesh_labels |
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