This chipped training dataset is over Jashore 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 7,310 tiles and 80,050 individual buildings. The satellite imagery resolution is 35 cm and was sourced from Maxar ODP (104001003BA7C900). Dataset keywords: Urban, Peri-urban, Rural
Dataset ID | ramp_jashore_bangladesh |
DOI | 10.34911/rdnt.wn4jmp |
Creator | DevGlobal |
Contact | info@dev.global |
DevGlobal, (2022). ramp Building Footprint Training Dataset - Jashore, Bangladesh, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.wn4jmp
from radiant_mlhub import Dataset ds = Dataset.fetch('ramp_jashore_bangladesh') for c in ds.collections: print(c.id)
Description | ramp Building Footprint Training Dataset - Jashore, Bangladesh - Source Imagery |
License | CC-BY-NC-4.0 |
Collection ID | ramp_jashore_bangladesh_source |
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Description | ramp Building Footprint Training Dataset - Jashore, Bangladesh - Labels |
License | CC-BY-NC-4.0 |
Collection ID | ramp_jashore_bangladesh_labels |
Download | |