Southern Africa* is home to around 960 bird species, some of which are found nowhere else on the globe. These creatures fill many important ecosystem niches, and can be found in every habitat in the region, from the lush Afromontane forests of the Drakensberg to the shifting dunes of the Kalahari. Unfortunately, some species are under threat due to habitat loss, climate change or disease. It is important to monitor the health of bird populations across the region, both for the conservation of the birds themselves and as a key indicator of overall ecosystem health.
Unlike larger animals, birds can be hard to observe with camera traps, and so most monitoring efforts involve volunteers identifying birds in the wild or tagging birds caught in nets before releasing them. The objective of this competition is to create a model capable of identifying birds by their calls. This could enable automatic identification of birds based on audio collected by remote microphones, drastically reducing the human input required for population monitoring.
To keep things simple, this competition focus on 40 birds whose calls are frequently heard in Southern Africa. The training data consists of 1857 audio files, recorded by hundreds of contributors and shared through xeno-canto. The goal is to use these recordings to build a classification model able to predict which bird is calling in a given audio clip.
*Southern Africa is the area south of the Zambezi, Kunene and Okavango rivers. This includes Namibia, Botswana, Zimbabwe, South Africa, Lesotho, Swaziland and southern and central Mozambique.
Teams and collaboration
You may participate in this competition as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the formation date. A team will be allowed the maximum number of submissions for the competition, minus the highest number of submissions among team members at team formation. Prizes are transferred only to the individual players or to the team leader.
Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be disqualified.
Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).
Datasets and packages
The solution must use publicly-available, open-source packages only. Your models should not use any of the metadata provided.
You may use only the datasets provided for this competition.
The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.
You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.
Your solution must not infringe the rights of any third party and you must be legally entitled to assign ownership of all rights of copyright in and to the winning solution code to Zindi.
Submissions and winning
You may make a maximum of 10 submissions per day. Your highest-scoring solution on the private leaderboard at the end of the competition will be the one by which you are judged.
As the challenge has now closed, the maximum number of submissions per day is 30.
Zindi maintains a public leaderboard and a private leaderboard for each competition. The Public Leaderboard includes approximately 50% of the test dataset. While the competition is open, the Public Leaderboard will rank the submitted solutions by the accuracy score they achieve. Upon close of the competition, the Private Leaderboard, which covers 100% of the test dataset, will be made public and will constitute the final ranking for the competition.
If you are in the top 20 at the time the leaderboard closes, we will email you to request your code. On receipt of email, you will have 48 hours to respond and submit your code following the submission guidelines detailed below. Failure to respond will result in disqualification.
If your solution places 1st, 2nd, or 3rd in the final ranking, will NOT be required to assign rights of copyright to Zindi. We will however encourage the winners to share their code on GitHub as a public good to the sector.
If two solutions earn identical scores on the leaderboard, the tiebreaker will be the date and time in which the submission was made (the earlier solution will win).
The winners will be paid via bank transfer, PayPal, or other international money transfer platform. International transfer fees will be deducted from the total prize amount, unless the prize money is under $500, in which case the international transfer fees will be covered by Zindi. In all cases, the winners are responsible for any other fees applied by their own bank or other institution for receiving the prize money. All taxes imposed on prizes are the sole responsibility of the winners.
You acknowledge and agree that Zindi may, without any obligation to do so, remove or disqualify an individual, team, or account if Zindi believes that such individual, team, or account is in violation of these rules. Entry into this competition constitutes your acceptance of these official competition rules.
Please refer to the FAQs and Terms of Use for additional rules that may apply to this competition. We reserve the right to update these rules at any time.
Reproducibility
- All data used
- Output data and where they are stored
- Explanation of features used
- Your solution must include the original data provided by Zindi and validated external data (no processed data)
- All editing of data must be done in a notebook (i.e. not manually in Excel)
Data standards:
- You must use the most recent versions of packages. Custom packages in your submission notebook will not be accepted.
- You may only use tools available to everyone i.e. no paid services or free trials that require a credit card.
Consequences of breaking any rules of the competition or submission guidelines:
Monitoring of submissions
Further updates and rulings of note:
We reserve the right to update these rules at any time.
The evaluation metric for this challenge is Log Loss.
Some files contain more than one bird call, the goal is to predict the ‘foreground species’ calling the loudest. In your model, you will want to account for background noise.
Your submission file should look like:
Note that there are 40 classes (birds). Values should be probabilities and can be between 0 and 1 inclusive.
ID Ring-necked Dove Black Cuckoo Red-chested Cuckoo Fiery-necked Nightjar ... Q4Q442 1 0 0 0 ...
There are no cash prizes for this challenge.
However, the top 10 submissions will earn up to 2000 Zindi Points.
Competition closes on 19 April 2020.
Final submissions must be received by 11:59 PM GMT.
We reserve the right to update the contest timeline if necessary.
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