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Data · collection · 2023

Open Cities AI Challenge Dataset

Listed in NASA Earthdata CMR

Description

This dataset was developed as part of a challenge to segment building footprints from aerial imagery. The goal of the challenge was to accelerate the development of more accurate, relevant, and usable open-source AI models to support mapping for disaster risk management in African cities Read more about the [challenge]. The data consists of drone imagery from 10 different cities and regions across Africa

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Where it is published

Catalogue records · 2

Topics

Stated by source
Airplane · Vector Labels
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NASA Earthdata CMRC2781412511-MLHUB8 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[measured_variable].gcmd:earth-science-services/machine-learning-training-data/labels/vector-labelssource · NASA CMRconnector:nasa_cmr@1.0.0
concepts[platform].gcmd_platform:airplanesource · NASA CMRconnector:nasa_cmr@1.0.0
created_datesource · NASA CMRconnector:nasa_cmr@1.0.0
descriptionsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/Abstract
license_textsource · NASA CMRconnector:nasa_cmr@1.0.0
publication_datesource · NASA CMRconnector:nasa_cmr@1.0.0
spatialsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/SpatialExtent
temporalsource · NASA CMRconnector:nasa_cmr@1.0.0/umm/TemporalExtents
titlesource · NASA CMRconnector:nasa_cmr@1.0.0/umm/EntryTitle
version_labelsource · NASA CMRconnector:nasa_cmr@1.0.0