ramp Building Footprint Training Dataset - Les Cayes, Haiti

This chipped training dataset is over Les Cayes 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 developing the ramp baseline model and contains 1,430 tiles and 28,549 individual buildings. The satellite imagery resolution is 47 cm and was sourced from Maxar ODP (10300100A450A500). Dataset keywords: Urban, Peri-Urban, Rural, Coastal, Mountainous.

Dataset ID	ramp_les_cayes_haiti
DOI	10.34911/rdnt.lkskd8
Creator	DevGlobal
Contact	info@dev.global

Documentation

Download

Tools & Applications

Chippy Checker Editor

Citation

DevGlobal, (2022). ramp Building Footprint Training Dataset - Les Cayes, Haiti, Version 1.0, [Date Accessed]. Radiant MLHub. https://doi.org/10.34911/rdnt.lkskd8

Python Client example

from radiant_mlhub import Dataset

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

Python Client quick-start guide

Download Dataset

Source Imagery Collections

Description	ramp Building Footprint Training Dataset - Les Cayes, Haiti - Source Imagery
License	CC-BY-NC-4.0
Collection ID	ramp_les_cayes_haiti_source
Download