ramp Building Footprint Training Dataset - Sylhet, Bangladesh
This chipped training dataset is over Sylhet 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 16,217 tiles and 135,375 individual buildings. The satellite imagery resolution is 30 cm and was sourced from Maxar ODP 2022 imagery release for a Bangladesh flood event. Dataset keywords: Peri-urban, Rural, River, Agricultural
Dataset ID | ramp_sylhet_bangladesh |
DOI | 10.34911/rdnt.fnv87x |
Creator | DevGlobal |
Contact | info@dev.global |
Documentation
Tools & Applications
Citation
DevGlobal, (2022). ramp Building Footprint Training Dataset - Sylhet, Bangladesh, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.fnv87x
Python Client example
from radiant_mlhub import Dataset
ds = Dataset.fetch('ramp_sylhet_bangladesh')
for c in ds.collections:
print(c.id)
Download Dataset
Source Imagery Collections
Description | ramp Building Footprint Training Dataset - Sylhet, Bangladesh - Source Imagery |
License | CC-BY-NC-4.0 |
Collection ID | ramp_sylhet_bangladesh_source |
Download | |
Labels Collections
Description | ramp Building Footprint Training Dataset - Sylhet, Bangladesh - Labels |
License | CC-BY-NC-4.0 |
Collection ID | ramp_sylhet_bangladesh_labels |
Download | |
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