{ "id": 327565, "title": "Leaderboard Finalized - Congratulations to the Winners; Recap", "url": "/competitions/birdclef-2022/discussion/327565", "author_name": "", "post_date": "2022-05-27T20:44:50.158693900Z", "votes": 7, "comment_count": 4, "views": 0, "content": "

Hey Kagglers,

\n

We’re happy to announce the conclusion of the BirdCLEF 2022! This is our third year working with the team (click here for last year’s competition), and we’re pleased to see how your expertise has grown since then.

\n

This competition ended with 5,478 individuals joining the competition, and 1,019 participants making a submission on 807 teams! We had 23,352 submissions from 62 countries! For 167 users (including 11 users in the top 100 teams!), this was their first competition. An additional congratulations goes out to our 1 new Kaggle Competition Grandmasters and 10 new Kaggle Competition Masters at the conclusion of this competition! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!

\n

Fun fact: The winning submission was made in the final 16 hours!

\n

As said before, we were once again very pleased to work with the teams at the University of Hawaii - Hilo, Cornell and the Bioacoustics team at Google: Amanda (Holger, Stefan, Tom) for this competition. They’ve been great at engaging with you Kagglers in the forums, and are incredibly knowledgeable about the state-of-the-art in the industry, while also soaking in all of the great content you have generated in this competition. We're glad they continue to choose Kaggle to be a platform to bring these types of problems to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future.

\n

We're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.

\n

We've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.

\n

The top potential winning teams will be contacted shortly via email to provide their winning solutions for host review, which is underway. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams.

\n

You should have already seen your points and medals awarded, however it may take a few hours to propagate through if yours are still missing.

\n

In the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.

\n

Happy Modeling!
\nKaggle Team

\n

Top Solution Write-ups

\n\n

Other Top Discussions

\n\n

Top Notebooks

\n", "messages": [ { "id": "1803475", "postDate": "05/27/2022 20:44:50", "content": "

Hey Kagglers,

\n

We’re happy to announce the conclusion of the BirdCLEF 2022! This is our third year working with the team (click here for last year’s competition), and we’re pleased to see how your expertise has grown since then.

\n

This competition ended with 5,478 individuals joining the competition, and 1,019 participants making a submission on 807 teams! We had 23,352 submissions from 62 countries! For 167 users (including 11 users in the top 100 teams!), this was their first competition. An additional congratulations goes out to our 1 new Kaggle Competition Grandmasters and 10 new Kaggle Competition Masters at the conclusion of this competition! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!

\n

Fun fact: The winning submission was made in the final 16 hours!

\n

As said before, we were once again very pleased to work with the teams at the University of Hawaii - Hilo, Cornell and the Bioacoustics team at Google: Amanda (Holger, Stefan, Tom) for this competition. They’ve been great at engaging with you Kagglers in the forums, and are incredibly knowledgeable about the state-of-the-art in the industry, while also soaking in all of the great content you have generated in this competition. We're glad they continue to choose Kaggle to be a platform to bring these types of problems to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future.

\n

We're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.

\n

We've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.

\n

The top potential winning teams will be contacted shortly via email to provide their winning solutions for host review, which is underway. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams.

\n

You should have already seen your points and medals awarded, however it may take a few hours to propagate through if yours are still missing.

\n

In the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.

\n

Happy Modeling!
\nKaggle Team

\n

Top Solution Write-ups

\n\n

Other Top Discussions

\n\n

Top Notebooks

\n", "rawMarkdown": "Hey Kagglers,\n\nWe’re happy to announce the conclusion of the BirdCLEF 2022! This is our third year working with the team (click [here](https://www.kaggle.com/competitions/birdclef-2021) for last year’s competition), and we’re pleased to see how your expertise has grown since then.\n\nThis competition ended with 5,478 individuals joining the competition, and 1,019 participants making a submission on 807 teams! We had 23,352 submissions from 62 countries! For 167 users (including 11 users in the top 100 teams!), this was their first competition. An additional congratulations goes out to our 1 new Kaggle Competition Grandmasters and 10 new Kaggle Competition Masters at the conclusion of this competition! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking! \n\nFun fact: *The winning submission was made in the final 16 hours!*\n\nAs said before, we were once again very pleased to work with the teams at the University of Hawaii - Hilo, Cornell and the Bioacoustics team at Google: [Amanda](https://www.kaggle.com/amandanavine) ([Holger](https://www.kaggle.com/holgerklinck), [Stefan](https://www.kaggle.com/stefankahl), [Tom](https://www.kaggle.com/tomdenton)) for this competition. They’ve been great at engaging with you Kagglers in the forums, and are incredibly knowledgeable about the state-of-the-art in the industry, while also soaking in all of the great content you have generated in this competition. We're glad they continue to choose Kaggle to be a platform to bring these types of problems to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future. \n\nWe're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact [compliance](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nThe top potential winning teams will be contacted shortly via email to provide their winning solutions for host review, which is underway. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams. \n\nYou should have already seen your points and medals awarded, however it may take a few hours to propagate through if yours are still missing.\n\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.\n\nHappy Modeling!\nKaggle Team\n\n###Top Solution Write-ups\n\n- [1st Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327047)\n- [2nd Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326950)\n- [3rd Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327193)\n- [4th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326987)\n- [5th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327044)\n- [6th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327187)\n- [8th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327019)\n- [7th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326973)\n- [9th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326968)\n- [11th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326979)\n- [13th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326990)\n- [15th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327393)\n- [17th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326933)\n- [19th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327175)\n- [23rd Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327046)\n- [43rd Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327118)\n- [50th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327217)\n\n###Other Top Discussions\n- [Previous Audio Competitions](https://www.kaggle.com/competitions/birdclef-2022/discussion/307824)\n- [Changes compared to previous BirdCLEF competition](https://www.kaggle.com/competitions/birdclef-2022/discussion/309213)\n- [Comment for beginners](https://www.kaggle.com/competitions/birdclef-2022/discussion/324124)\n- [First submission (BirdClef2021 4th Solution)](https://www.kaggle.com/competitions/birdclef-2022/discussion/308004)\n- [BirdCLEF 2021 Solutions](https://www.kaggle.com/competitions/birdclef-2022/discussion/307842)\n- [If You Are Confused About the Evaluation Metric - Read This](https://www.kaggle.com/competitions/birdclef-2022/discussion/314999)\n\n###Top Notebooks\n- [BirdCLEF:LIBROSA Audio Feature Extraction](https://www.kaggle.com/code/shreyasajal/birdclef-librosa-audio-feature-extraction)\n- [[BirdCLEF2022] EX005 f0 [Infer]](https://www.kaggle.com/code/kaerunantoka/birdclef2022-ex005-f0-infer)\n- [🔊 BirdCLEF22 - EDA + Noise Reduction 🐦](https://www.kaggle.com/code/hasanbasriakcay/birdclef22-eda-noise-reduction)\n- [🐦 BirdCLEF '21 - 2nd place model - Submit [0.66]](https://www.kaggle.com/code/julian3833/birdclef-21-2nd-place-model-submit-0-66)", "votes": null }, { "id": "1803502", "postDate": "05/27/2022 22:08:26", "content": "

\"Happywhale - Whale and Dolphin Identification\" ?

", "rawMarkdown": "\"Happywhale - Whale and Dolphin Identification\" ?", "votes": null }, { "id": "1803523", "postDate": "05/27/2022 22:45:21", "content": "

😳 - I copied the intro paragraph over from another one and missed that edit. Nice spot!

", "rawMarkdown": "😳 - I copied the intro paragraph over from another one and missed that edit. Nice spot!", "votes": null }, { "id": "1803535", "postDate": "05/27/2022 23:25:36", "content": "

3rd place solution is not divided into 2parts.
\n'3rd Place a' is linked 7th place solution.

", "rawMarkdown": "3rd place solution is not divided into 2parts.\n'3rd Place a' is linked 7th place solution.", "votes": null }, { "id": "1803538", "postDate": "05/27/2022 23:28:48", "content": "

Thanks! Updated. Unsure how that happened.

", "rawMarkdown": "Thanks! Updated. Unsure how that happened.", "votes": null } ], "comments": [ { "id": 1803502, "author_name": "kolyaforrat", "author_url": "", "post_date": "05/27/2022 22:08:26", "content": "

\"Happywhale - Whale and Dolphin Identification\" ?

", "votes": null, "replies": [ { "id": 1803523, "author_name": "addisonhoward", "author_url": "", "post_date": "05/27/2022 22:45:21", "content": "

😳 - I copied the intro paragraph over from another one and missed that edit. Nice spot!

", "votes": null, "replies": [] } ] }, { "id": 1803535, "author_name": "asaliquid1011", "author_url": "", "post_date": "05/27/2022 23:25:36", "content": "

3rd place solution is not divided into 2parts.
\n'3rd Place a' is linked 7th place solution.

", "votes": null, "replies": [ { "id": 1803538, "author_name": "addisonhoward", "author_url": "", "post_date": "05/27/2022 23:28:48", "content": "

Thanks! Updated. Unsure how that happened.

", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "1803475": "Hey Kagglers,\n\nWe’re happy to announce the conclusion of the BirdCLEF 2022! This is our third year working with the team (click [here](https://www.kaggle.com/competitions/birdclef-2021) for last year’s competition), and we’re pleased to see how your expertise has grown since then.\n\nThis competition ended with 5,478 individuals joining the competition, and 1,019 participants making a submission on 807 teams! We had 23,352 submissions from 62 countries! For 167 users (including 11 users in the top 100 teams!), this was their first competition. An additional congratulations goes out to our 1 new Kaggle Competition Grandmasters and 10 new Kaggle Competition Masters at the conclusion of this competition! Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking! \n\nFun fact: *The winning submission was made in the final 16 hours!*\n\nAs said before, we were once again very pleased to work with the teams at the University of Hawaii - Hilo, Cornell and the Bioacoustics team at Google: [Amanda](https://www.kaggle.com/amandanavine) ([Holger](https://www.kaggle.com/holgerklinck), [Stefan](https://www.kaggle.com/stefankahl), [Tom](https://www.kaggle.com/tomdenton)) for this competition. They’ve been great at engaging with you Kagglers in the forums, and are incredibly knowledgeable about the state-of-the-art in the industry, while also soaking in all of the great content you have generated in this competition. We're glad they continue to choose Kaggle to be a platform to bring these types of problems to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future. \n\nWe're also continually pleased to see how Kaggle Competitions serve as a great medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. Further, in this competition, many can use their machine learning skills to help a great cause like this one.\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact [compliance](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nThe top potential winning teams will be contacted shortly via email to provide their winning solutions for host review, which is underway. Should we need to move down the leaderboard for any reason, we will do so and continue to make contact with subsequent teams. \n\nYou should have already seen your points and medals awarded, however it may take a few hours to propagate through if yours are still missing.\n\nIn the meantime, I've created this thread to be a curated list of your work. As you post your solutions, top notebooks, and general discussion posts, I'll update this thread to keep track. If you write a paper, thesis, or present at a conference, and would like to share your work, please let us know so we can share with the Kaggle community! Additionally, if you performed any data manipulation, or used a new technique in this competition that you'd like to share to further the industry, please let us know and we'll post it here! That way, should you be looking for takeaways in the future, or if you've just now stumbled across the competition, you have a place to see what surfaced from the work performed.\n\nHappy Modeling!\nKaggle Team\n\n###Top Solution Write-ups\n\n- [1st Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327047)\n- [2nd Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326950)\n- [3rd Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327193)\n- [4th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326987)\n- [5th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327044)\n- [6th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327187)\n- [8th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327019)\n- [7th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326973)\n- [9th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326968)\n- [11th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326979)\n- [13th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326990)\n- [15th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327393)\n- [17th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/326933)\n- [19th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327175)\n- [23rd Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327046)\n- [43rd Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327118)\n- [50th Place](https://www.kaggle.com/competitions/birdclef-2022/discussion/327217)\n\n###Other Top Discussions\n- [Previous Audio Competitions](https://www.kaggle.com/competitions/birdclef-2022/discussion/307824)\n- [Changes compared to previous BirdCLEF competition](https://www.kaggle.com/competitions/birdclef-2022/discussion/309213)\n- [Comment for beginners](https://www.kaggle.com/competitions/birdclef-2022/discussion/324124)\n- [First submission (BirdClef2021 4th Solution)](https://www.kaggle.com/competitions/birdclef-2022/discussion/308004)\n- [BirdCLEF 2021 Solutions](https://www.kaggle.com/competitions/birdclef-2022/discussion/307842)\n- [If You Are Confused About the Evaluation Metric - Read This](https://www.kaggle.com/competitions/birdclef-2022/discussion/314999)\n\n###Top Notebooks\n- [BirdCLEF:LIBROSA Audio Feature Extraction](https://www.kaggle.com/code/shreyasajal/birdclef-librosa-audio-feature-extraction)\n- [[BirdCLEF2022] EX005 f0 [Infer]](https://www.kaggle.com/code/kaerunantoka/birdclef2022-ex005-f0-infer)\n- [🔊 BirdCLEF22 - EDA + Noise Reduction 🐦](https://www.kaggle.com/code/hasanbasriakcay/birdclef22-eda-noise-reduction)\n- [🐦 BirdCLEF '21 - 2nd place model - Submit [0.66]](https://www.kaggle.com/code/julian3833/birdclef-21-2nd-place-model-submit-0-66)", "1803502": "\"Happywhale - Whale and Dolphin Identification\" ?", "1803523": "😳 - I copied the intro paragraph over from another one and missed that edit. Nice spot!", "1803535": "3rd place solution is not divided into 2parts.\n'3rd Place a' is linked 7th place solution.", "1803538": "Thanks! Updated. Unsure how that happened." }, "source": "meta" }