Radiant MLHub

ramp Building Footprint Training Dataset - Jashore, Bangladesh

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

Documentation

Tools & Applications

Citation

DevGlobal, (2022). ramp Building Footprint Training Dataset - Jashore, Bangladesh, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.wn4jmp

Python Client example

from radiant_mlhub import Dataset

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

Python Client quick-start guide

Download Dataset

Source Imagery Collections

Description

ramp Building Footprint Training Dataset - Jashore, Bangladesh - Source Imagery

License

CC-BY-NC-4.0

Collection ID

ramp_jashore_bangladesh_source

Download

Labels Collections

Description

ramp Building Footprint Training Dataset - Jashore, Bangladesh - Labels

License

CC-BY-NC-4.0

Collection ID

ramp_jashore_bangladesh_labels

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