Overhead Geopose Challenge
Help make overhead imagery more useful for time-sensitive applications like disaster response. Build computer vision algorithms that can effectively model the height and pose of ground objects for monocular satellite images taken from oblique angles. #science
Help make overhead imagery more useful for time-sensitive applications like disaster response. Build computer vision algorithms that can effectively model the height and pose of ground objects for monocular satellite images taken from oblique angles.
Quick Facts
Participants
No. of Entries
Prize
Winner
selim_sef
1st Place
We rely on 3D maps for urban planning, emergency response planning, and navigation; however, our current ability to very quickly update these maps after dynamic world events is limited. The level of detail achieved by the top models from the competition exceeded our expectations. We are excited to apply the methods to increase the currency and fidelity of existing 3D models.
— Monte Turner, NGA Research Foundational GEOINT Office Director
Why
Overhead satellite imagery provides critical time-sensitive information for use in arenas such as disaster response, navigation, and security. Most current methods for using aerial imagery assume images are taken from directly overhead, known as near-nadir. However, the first images available are often taken from an angle — they are oblique. Effects from these camera orientations complicate useful tasks such as change detection, vision-aided navigation, and map alignment.
The Solution
To address this need, the National Geospatial-Intelligence Agency (NGA) and Johns Hopkins University Applied Physics Lab partnered with the National Aeronautics and Space Administration and DrivenData to run a machine learning challenge aimed at making satellite imagery taken from a significant angle more useful for time-sensitive applications.
Participants competed to develop the best computer vision models for inferring the geocentric pose of ground objects from oblique satellite images. Geocentric pose is an object’s height above the ground and its orientation with respect to gravity. Recent works published at the Conference on Computer Vision and Pattern Recognition (CVPR) 2020 and CVPR Earthvision Workshop 2021 demonstrated the first methods to learn geocentric pose from oblique monocular satellite images, with ground truth labels provided by airborne lidar. The data and benchmark model were used as the foundation for improvements in this competition.
The Results
Over the course of challenge, we received more than 750 submissions from participants around the world. Submissions were evaluated using R-squared, which measures how much of the variance in the ground truth data is captured by the model. The results were averaged across the four cities in the data. The geography of San Fernando, Argentina was particularly tricky for this task because the city has fewer tall buildings and more architectural diversity.
The winning solution was able to surpass a 0.9 R-squared, an impressive increase of more than 10 percentage points beyond the previous benchmark (0.7988)! All four of the top participants were also able to increase the R-squared for San Fernando by an even greater margin. Overall, these participants were able to drastically improve on the model's ability to identify small vertical features, capture object outlines with higher resolution, and correct for the most oblique viewpoints.
All the prize-winning solutions from this competition, including detailed reports, have been made available on Github for anyone to use and learn from.
RESULTS ANNOUNCEMENT + MEET THE WINNERS
Approved for public release, 21-943
On this page
Overhead Geopose Challenge: Rules and Terms of Data Use
DrivenData Competition Rules
GUIDELINES
One account per participant
You cannot sign up to DrivenData from multiple accounts and therefore you cannot submit from multiple accounts.
Private sharing of code
Privately sharing code or data outside of teams is not permitted.
Winner License Type: Open Source License
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 Winning Model Documentation Template provided to top-ranking participants in order to be eligible for recognition and prize money if offered.
Submission limits
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
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.
FULL RULES
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Disclaimer of Warranties
You understand that we cannot and do not guarantee or warrant that the Data or other files available for downloading from the internet or the Competition Website will be free of viruses or other destructive code. You are responsible for implementing sufficient procedures and checkpoints to satisfy your particular requirements for anti-virus protection and accuracy of data input and output, and for maintaining a means external to our site for any reconstruction of any lost data. RELEASED PARTIES WILL NOT BE LIABLE FOR ANY LOSS OR DAMAGE CAUSED BY A DISTRIBUTED DENIAL-OF-SERVICE ATTACK, VIRUSES OR OTHER TECHNOLOGICALLY HARMFUL MATERIAL THAT MAY INFECT YOUR COMPUTER EQUIPMENT, COMPUTER PROGRAMS, DATA OR OTHER PROPRIETARY MATERIAL DUE TO YOUR USE OF THE WEBSITE OR ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE OR TO YOUR DOWNLOADING OF ANY MATERIAL POSTED ON IT, OR ON ANY WEBSITE LINKED TO IT.
YOUR USE OF THE COMPETITION WEBSITE, ITS CONTENT AND ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE AND RECEIPT OF ANY PRIZES IS AT YOUR OWN RISK. THE WEBSITE, ITS CONTENT AND ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE ARE PROVIDED ON AN “AS IS” AND “AS AVAILABLE” BASIS, WITHOUT ANY WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, BEYOND ANY NON-EXCLUDABLE GUARANTEES (DEFINED BELOW). NEITHER THE RELEASED PARTIES NOR ANY PERSON ASSOCIATED WITH RELEASED PARTIES MAKES ANY WARRANTY OR REPRESENTATION WITH RESPECT TO THE COMPLETENESS, SECURITY, RELIABILITY, QUALITY, ACCURACY OR AVAILABILITY OF THE COMPETITION WEBSITE. WITHOUT LIMITING THE FOREGOING, NEITHER RELEASED PARTIES NOR ANYONE ASSOCIATED WITH THE RELEASED PARTIES REPRESENTS OR WARRANTS THAT THE COMPETITION WEBSITE, ITS CONTENT OR ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE WILL BE ACCURATE, RELIABLE, ERROR-FREE OR UNINTERRUPTED, THAT DEFECTS WILL BE CORRECTED, THAT OUR SITE OR THE SERVER THAT MAKES IT AVAILABLE ARE FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS OR THAT THE COMPETITION WEBSITE OR ANY SERVICES OR ITEMS OBTAINED THROUGH THE WEBSITE WILL OTHERWISE MEET YOUR NEEDS OR EXPECTATIONS.
NOTHING IN THESE COMPETITION RULES LIMITS, EXCLUDES, OR MODIFIES OR PURPORTS TO LIMIT, EXCLUDE, OR MODIFY ANY STATUTORY CONSUMER GUARANTEE OR ANY IMPLIED CONDITION OR WARRANTY, THE EXCLUSION OF WHICH FROM THESE COMPETITION RULES WOULD CONTRAVENE ANY STATUTE OR CAUSE ANY PART OF THESE TERMS TO BE VOID (“NON-EXCLUDABLE GUARANTEES”). SUBJECT TO THE LIMITATIONS IN THE PRECEDING SENTENCE AND TO THE MAXIMUM EXTENT PERMITTED BY ANY MANDATORY PROVISIONS OF APPLICABLE LAW, THE RELEASED PARTIES HEREBY DISCLAIM ALL WARRANTIES OF ANY KIND, WHETHER EXPRESS OR IMPLIED, STATUTORY OR OTHERWISE, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT AND FITNESS FOR PARTICULAR PURPOSE.
THE FOREGOING DOES NOT AFFECT ANY WARRANTIES WHICH CANNOT BE EXCLUDED OR LIMITED UNDER APPLICABLE LAW.
Governing Law and Jurisdiction
DrivenData shall be the sole interpreter of these Competition Rules.
All matters relating to the Competition Rules or the Competition and any dispute or claim arising therefrom or related thereto (in each case, including non-contractual disputes or claims), shall be governed by and construed in accordance with the internal laws of the Commonwealth of Massachusetts without giving effect to any choice or conflict of law provision or rule (whether of the Commonwealth of Massachusetts or any other jurisdiction).
Any legal suit, action or proceeding arising out of, or related to, the Competition or the Competition Website shall be instituted exclusively in the federal courts of the United States or the courts of the Commonwealth of Massachusetts although we retain the right to bring any suit, action or proceeding against you for breach of these Terms of Use in your country of residence or any other relevant country. You waive any and all objections to the exercise of jurisdiction over you by such courts and to venue in such courts.
The invalidity or unenforceability of any provision of these Competition Rules shall not affect the validity or enforceability of any other provision. In the event that any provision is determined to be invalid or otherwise unenforceable or illegal, these Competition Rules shall otherwise remain in effect and be construed in accordance with their terms as if the invalid or illegal provision was not contained herein.