Open Cities AI Challenge: Segmenting Buildings for Disaster Resilience
Can you map building footprints from drone imagery? This semantic segmentation challenge leverages computer vision and data from OpenStreetMap to support disaster risk management efforts in cities across Africa. Competition hosted by The Global Facility for Disaster Reduction and Recovery. #disasters
Can you map building footprints from drone imagery? This semantic segmentation challenge leverages computer vision and data from OpenStreetMap to support disaster risk management efforts in cities across Africa.
Good news! The project team from this competition has made the challenge data available for ongoing use, practice and learning. This data will be maintained by the project team and released at their discretion.
For additional information about the data, see the Problem Description page.
Access the data
About Radiant MLHub
This dataset is hosted on Radiant MLHub, an open repository for geospatial machine learning training data. Radiant MLHub hosts open training datasets generated by Radiant Earth Foundation's team as well as other training data catalogs contributed by Radiant Earth’s partners. All the data are hosted in a cloud-friendly format, and the API allows for easy discovery and download. Radiant MLHub is open to anyone to access existing training data and/or share their training data for broader impact.
The Radiant MLHub API is a STAC compliant API that serves metadata about label items and source imagery and links to download these items. To learn more about Radiant MLHub API, check out this blogpost on Accessing and Downloading Training Data on the Radiant MLHub API.
To access the Radiant MLHub API, you must be authenticated with an API key. Requests made to the API must contain a query parameter where the key is “key” and the value is your API key. For example, a request made to the
/collections endpoint would look similar to this:
You can obtain an API key by creating a free account on Radiant Earth Foundation's dashboard and navigating to the “API Keys” tab.
Please note that we won't be able to field questions about the data, but we wanted to share it here for the benefit of the community. If you have a question, feel free to post it to the forum.
Open Cities AI Challenge: Segmenting Buildings for Disaster Resilience: Rules and Terms of Data Use
DrivenData Competition Rules
One account per participant
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Private sharing of code
Privately sharing code or data outside of teams is not permitted.
Public dissemination of entries
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Open licensing of winners
Winning solutions need to be made available under The MIT License (an open source software license commonly described at http://opensource.org/licenses/MIT) in order to be eligible for recognition and prize money if offered.
Documentation for winning solutions
Winning solutions must be documented using the provided Winning Model Documentation Template in order to be eligible for recognition and prize money if offered.
The number of submissions per day is restricted to a fixed value on a per-competition basis. Any attempt to circumvent this limit will result in disqualification.
External data is not allowed unless otherwise noted explicitly on these competition pages. Participants agree to make no attempt to use additional data or data sources not provided on these competition pages.
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USER SUBMISSIONS MUST IN THEIR ENTIRETY COMPLY WITH ALL APPLICABLE FEDERAL, STATE, LOCAL, AND INTERNATIONAL LAWS AND REGULATIONS. WITHOUT LIMITING THE FOREGOING, IN ORDER TO BE ELIGIBLE, YOU WARRANT THAT (UNLESS OTHERWISE SPECIFIED IN THE PROBLEM STATEMENT) YOUR SUBMISSION FOR THIS COMPETITION:
- Does not include or anticipate the inclusion of any content that is in violation of or infringes third party intellectual property rights including, but not limited to copyrights, including music copyrights, patents, trade secrets, trademarks, and rights of publicity or privacy.
- Is free and clear of all liens, claims, encumbrances or demands of any third parties.
- Does not include or anticipate the inclusion of any unsuitable or offensive content, including nudity, sexually explicit, disparaging, libelous or other inappropriate content.
- Has not been entered in previous challenges, or won previous awards.
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- Is suitable for a general audience.
- Does not contain any claims that are not and cannot be substantiated or that would be false and/or misleading to a reasonable consumer.
Selection of winners
This Competition is a challenge of skill and the final results are determined by evaluating a combination of quantitative and qualitative factors, as more fully described on the Competition Website. For that portion of the Competition evaluated quantitatively, the results will be determined solely by leaderboard ranking on the private leaderboard based on an objective statistical evaluation metric published on the Competition Website prior to commencement of the Competition (subject to compliance with these Competition Rules). Participants' scores and ranks on the Competition Website at any given stage of the Competition will be based on the objective statistical evaluation metric described on the Competition Website, as determined by applying the predictions in the Submission to the ground truth of a validation dataset whose instances were a fixed set sampled from the Data. For that portion of the Competition evaluated qualitatively, the results will be determined by a panel of judges, as more fully described on the Competition Website. As more fully described on the Competition Website, the Competition may have a quantitative winner, a qualitative winner, a combined quantitative and qualitative winner, or all three.
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- disqualify your Submission(s); or
- require that you remediate within one week all issues identified in your Submission(s) (including, without limitation, the resolution of license conflicts, the fulfillment of all obligations required by software licenses, and the removal of any software that violates the software restrictions).
A tie between two or more valid and identically ranked submissions will be resolved in favor of the tied submission that was submitted first.
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Prizes and conditions
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The prize may be awarded to an alternate winner if required documentation is not returned within thirty (30) days after mailing to winner, if prize notification letter/email or prize is returned as undeliverable, if winner does not respond to an email or other communication from DrivenData within ten (10) days of the date sent, or if the winner, in DrivenData’s judgment, does not respond to reasonable requests for information related to prize delivery or otherwise unable or unwilling to coordinate prize delivery within thirty (30) days after prize notification. Allow thirty (30) days for prize delivery. By accepting any prize/award, Winner agrees to allow DrivenData and/or the Competition Sponsor to disclose Winner’s first name, first initial of last name, and city of residence, as well as prize information to the extent required by law, and if so required by law, Winner agrees to the disclosure of additional personal information, all without additional compensation.
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- represents that he/she/it has the unrestricted right to grant that license.
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- licenses their winning Submission and the source code used to generate the Submission under the MIT License (an open source software license commonly described at http://opensource.org/licenses/MIT); and
- represents that he/she/it has the unrestricted right to grant that license.
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DrivenData reserves the right to request information associated with our investigation of suspected cheating. Failure to respond to these requests (including failure to furnish the requested information) within ten (10) days is grounds for disqualification.
RECEIVING PRIZES. After verification of eligibility, if prizes are awarded, each Prize winner will receive the prize in the form of a check or electronic transfer made out to the Prize winner (if an individual, or to the individual Team members if a Team). Allow 30 days from final confirmation for Prize delivery. Any winners who are U.S. citizens will receive an IRS 1099 form in the amount of their prize at the appropriate time. Prize winners are responsible for any taxes, fees or other liability resulting from their receipt of a Prize.
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Data use and code sharing
DATA. "Data" means the Data or Datasets linked from the Competition Website for the purpose of use by Participants in the Competition. For the avoidance of doubt, Data is deemed for the purpose of these Competition Rules to include any prototype or executable code provided to Participants by DrivenData or via the Competition Website. Participants must use the Data only as permitted by these Competition Rules and any associated data use rules specified on the Competition Website.
Unless otherwise permitted by the terms of the Competition Website, Participants must use the Data solely for the purpose and duration of the Competition, including but not limited to reading and learning from the Data, analyzing the Data, modifying the Data and generally preparing your Submission and any underlying models and participating in forum discussions on the Competition Website. Participants agree to use suitable measures to prevent persons who have not formally agreed to these Competition Rules from gaining access to the Data and agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Data to any party not participating in the Competition. Participants agree to notify DrivenData immediately upon learning of any possible unauthorized transmission or unauthorized access of the Data and agree to work with DrivenData to rectify any unauthorized transmission. Participants agree that participation in the Competition shall not be construed as having or being granted a license (expressly, by implication, estoppel, or otherwise) under, or any right of ownership in, any of the Data.
EXTERNAL DATA. Unless otherwise expressly stated on the Competition Website, Participants must not use data other than the Data to develop and test their models and Submissions. Competition Sponsor reserves the right in its sole discretion to disqualify any Participant who Competition Sponsor discovers has undertaken or attempted to undertake the use of data other than the Data, or who uses the Data other than as permitted according to the Competition Website and in these Competition Rules, in the course of the Competition.
CODE SHARING. Participants are prohibited from privately sharing source or executable code developed in connection with or based upon the Data, and any such sharing is a breach of these Competition Rules and may result in disqualification. Participants are permitted to publicly share source or executable code developed in connection with or based upon the Data, or otherwise relevant to the Competition, provided that such sharing does not violate the intellectual property rights of any third party. By so sharing, the sharing Participant is thereby deemed to have licensed the shared code under the MIT License (an open source software license commonly described at http://opensource.org/licenses/MIT).
OPEN-SOURCE CODE. A Submission will be ineligible to win a prize if it was developed using code containing or depending on software licensed under an open source license:
- other than an Open Source Initiative-approved license (see http://opensource.org/licenses); or
- an open source license that prohibits commercial use.
Participant warranties and obligations
By registering, you agree that (a) your Account is complete, correct and accurate and (b) your registration may be rejected or terminated and all Entries submitted by you and/or your Team may be disqualified if any of the information in your Account is (or Competition Sponsor of DrivenData has reasonable grounds to believe it is) incomplete, incorrect or inaccurate. You are solely responsible for your Account. All registration information is deemed collected in the United States.
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- does not trigger any reporting or royalty obligation to any third party; and
- was not previously published and has not won any other prize/award.
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