Hakuna Ma-data: Identify Wildlife on the Serengeti with AI for Earth Hosted By Microsoft AI for Earth
Can you predict which animals are present in camera trap images? Leverage millions of images of animals on the Serengeti to build a classifier that distinguishes between gazelles, lions, and more!
No. of Entries
ValAn_picekl1st Place Team
This was a brand new kind of DrivenData competition! Using novel infrastructure to execute code submissions in the cloud and evaluate them on a large holdout set never provided to participants, this challenge pushed the boundary of innovation and generalization for wildlife conservation.
Camera traps are an invaluable tool in conservation research, but the sheer amount of data they generate presents a huge barrier to using them effectively.
There are two immediate challenges where efforts like this competition are needed. 1) Camera traps can't automatically label the animals they observe, creating an immense burden on humans to determine where and what wildlife are present. 2) Even when automated animal tagging models are available, the models that do exist don't generalize well across time and locations, severely limiting their usefulness with new data.
Microsoft and DrivenData put together a machine learning competition to build the best computer vision models for tagging species from a new trove of camera trap imagery. To power more accurate and generalizable models, the challenge featured more data from the Snapshot Serengeti project and a more realistic holdout set for training and testing models. Then, to move the solutions one step closer to applied impact, participants had to package everything needed to do inference and submit for containerized execution on Azure.
The winning algorithm beat out more than 500 other containerized entries. On the full test set, this model identified blank images with 97% accuracy (blanks represents ~70% of all images), and predicted the correct species in non-blank image sequences with 86% accuracy (i.e. the species with the highest predicted probability was indeed the one in the image).
This and all the other prize-wining solutions were shared openly for continued learning and development. For more check out the links below!
RESULTS ANNOUNCEMENT + MEET THE WINNERS
Hakuna Ma-data: Identify Wildlife on the Serengeti with AI for Earth: Rules and Terms of Data Use
DrivenData Competition Rules
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.
Public dissemination of entries
DrivenData has the right to publicly disseminate any entries or models.
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.
These are the complete, official rules for the Competition (the "Competition Rules") and incorporate by reference the contents of the Competition Website listed above.
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The Competition is hosted by DrivenData, Inc ("DrivenData"). The Competition will run according to the dates listed on the Competition Website (the "Competition Period").
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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.
The evaluation metric used for scoring and ranking Submissions will be displayed on the Competition Website.
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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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As a condition of receipt of the prize, winner must deliver the algorithm's code and documentation to DrivenData. The source code must contain a description of resources required to build and run the algorithm. The accompanying documentation should be consistent with DrivenData's Winning Model Documentation Template, which will be provided to winners within 30 days of the end of the Competition Period.
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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- grants to Competition Sponsor and its designees a worldwide, non-exclusive, sub-licensable, transferable, fully paid-up, royalty-free, perpetual, irrevocable right to use, not use, reproduce, distribute, create derivative works of, publicly perform, publicly display, digitally perform, make, have made, sell, offer for sale and import their winning Submission and the source code used to generate the Submission, in any media now known or hereafter developed, for any purpose whatsoever, commercial or otherwise, without further approval by or payment to Participant; and
- represents that he/she/it has the unrestricted right to grant that license.
OPEN SOURCE LICENSE. If the Winner License Type for the Competition (see Winner License Type above) is Open Source License, then each Winner by accepting a Prize thereby:
- 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.
CHEATING. Participating using more than one DrivenData account is deemed cheating and, if discovered, will result in disqualification from the Competition and any other affected Competitions and may result in banning or deactivation of affected DrivenData accounts.
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.
Except where prohibited by law, entry constitutes permission to use winners' names, hometowns and likenesses for online posting, and/or any advertising and publicity without additional compensation. Winners may also be required to sign and return a release of liability, declaration of eligibility and, where lawful, a publicity consent agreement, as conditions of receiving a prize. Failure to comply with the aforementioned conditions shall be grounds for forfeiture of a prize.
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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