Open Cities AI Challenge Dataset
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
Dataset ID | open_cities_ai_challenge |
DOI | 10.34911/rdnt.f94cxb |
Creator | Global Facility for Disaster Reduction and Recovery (GFDRR) |
Contact | njones@worldbankgroup.org |
Documentation
Tools & Applications
Publications
Citation
GFDRR Labs (2020). "Open Cities AI Challenge Dataset", Version 1.0, Radiant MLHub. [Date Accessed] https://doi.org/10.34911/rdnt.f94cxb
Python Client example
from radiant_mlhub import Dataset
ds = Dataset.fetch('open_cities_ai_challenge')
for c in ds.collections:
print(c.id)
Download Dataset
Source Imagery Collections
Description | Open Cities AI Challenge Test Dataset |
License | CC-BY-4.0 |
Collection ID | open_cities_ai_challenge_test |
Download | |
Description | Open Cities AI Challenge Train Tier 1 Source Imagery |
License | CC-BY-4.0 |
Collection ID | open_cities_ai_challenge_train_tier_1_source |
Download | |
Description | Open Cities AI Challenge Train Tier 2 Source Imagery |
License | CC-BY-4.0 |
Collection ID | open_cities_ai_challenge_train_tier_2_source |
Download | |
Labels Collections
Description | Open Cities AI Challenge Train Tier 1 Labels |
License | ODbL-1.0 |
Collection ID | open_cities_ai_challenge_train_tier_1_labels |
Download | |
Description | Open Cities AI Challenge Train Tier 2 Labels |
License | ODbL-1.0 |
Collection ID | open_cities_ai_challenge_train_tier_2_labels |
Download | |
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