Hey Kagglers,
\nWe’re happy to announce the conclusion of the Happywhale - Whale and Dolphin Identification competition! We’ve worked with the Happywhale team in the past on other competitions, and we’re always excited to see how your solutions are placed directly in production to further conservation efforts. We’re proud to be a home where we can make a positive impact on the world, especially when those opportunities help further the state-of-the-art in machine learning and help Kagglers grow.
\nThis competition ended with 10,708 individuals joining the competition, 2,070 participants making a submission on 1,588 teams! We had 39,284 submissions from 83 countries! For 350 users (including 4 users in the top 20 teams!), this was their first competition. An additional congratulations goes out to our 2 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!
\nFun fact: The winning submission was made with only 56 seconds to spare!
\nI also want to give a massive thanks to our host of this competition. Ted has always esteemed the Kaggle community with the highest regard, seen the value of what the Kaggle community can provide, and has time-and-time again brought engaging challenge to Kaggle, and brought the winning solutions to the field.
\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.
\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. Please fill in all the fields honestly.
\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.
\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.
\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.
\nHappy Modeling!
\nKaggle Team
Hey Kagglers,
\nWe’re happy to announce the conclusion of the Happywhale - Whale and Dolphin Identification competition! We’ve worked with the Happywhale team in the past on other competitions, and we’re always excited to see how your solutions are placed directly in production to further conservation efforts. We’re proud to be a home where we can make a positive impact on the world, especially when those opportunities help further the state-of-the-art in machine learning and help Kagglers grow.
\nThis competition ended with 10,708 individuals joining the competition, 2,070 participants making a submission on 1,588 teams! We had 39,284 submissions from 83 countries! For 350 users (including 4 users in the top 20 teams!), this was their first competition. An additional congratulations goes out to our 2 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!
\nFun fact: The winning submission was made with only 56 seconds to spare!
\nI also want to give a massive thanks to our host of this competition. Ted has always esteemed the Kaggle community with the highest regard, seen the value of what the Kaggle community can provide, and has time-and-time again brought engaging challenge to Kaggle, and brought the winning solutions to the field.
\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.
\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. Please fill in all the fields honestly.
\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.
\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.
\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.
\nHappy Modeling!
\nKaggle Team
\n\nFun fact: The winning submission was made with only 56 seconds to spare!
\n
Who says Kagglers aren't adventurous? 😁
\nCongratulations everyone! 🙏
\nTime for me to make chai and start requesting winners for their time 😄🍵
", "rawMarkdown": "> Fun fact: The winning submission was made with only 56 seconds to spare!\n\nWho says Kagglers aren't adventurous? 😁\n\nCongratulations everyone! 🙏\n\nTime for me to make chai and start requesting winners for their time 😄🍵", "votes": null }, { "id": "1763081", "postDate": "04/21/2022 09:00:03", "content": "Thank you for the competition, we are waiting for the third one :)
", "rawMarkdown": "Thank you for the competition, we are waiting for the third one :)", "votes": null }, { "id": "1763657", "postDate": "04/21/2022 17:18:08", "content": "@wcukierski , @addisonhoward
\nOnce again you write in your final comment the sentence which enables more meanings:
\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules.
\n
I must agree that you really disqualified only some teams that have violated the rules.
\nSo if you stick to your claim that the teams you didn't disqualify hadn't violated the rules can you or some of your colleagues kindly publicly explain:
I repeat that I will not contact the compliance because this not about any particular team, this is a serious, disturbing, long-term systemic issue which unsolved can consequently severely harm all Kaggle competitions' reputation and lower the credit of all achievements.
\nI am really sad that just this wonderful competition was spoiled by such an ugly ending and I am happy that at least the great work of the host Happywhale organization and all the amazing people who prepared the images and labels wasn't ruined by any leakage hunters. Thank you and my big respect!
", "rawMarkdown": "wcukierski , @addisonhoward \nOnce again you write in your final comment the sentence which enables more meanings:\n \n> We've cleaned the leaderboard and disqualified some teams that have violated the rules.\n\nI must agree that you really disqualified **only some** teams that have violated the rules. \nSo if you stick to your claim that the teams you didn't disqualify hadn't violated the rules can you or some of your colleagues kindly publicly explain:\n1. How can a competitor **legally get a silver medal after 1 day and reach the Competition Expert tier after only 2 days of overall activity on Kaggle** unless he (she) is a genius worth Turing Award? \nAnd should we be proud and humbled because we have several teams consisting only of similar sudden geniuses still among us?\n2. **Where is the line of difference** that some teams showing (based on publicly available data) the very same patterns of behaviour are disqualified and other teams are not? What other \"quality\" must they have?\n\nI repeat that I will not contact the compliance because this not about any particular team, this is a serious, disturbing, **long-term systemic issue** which unsolved can consequently severely harm all Kaggle competitions' reputation and lower the credit of all achievements.\n\nI am really sad that just this wonderful competition was spoiled by such an ugly ending and I am happy that at least the great work of the host **Happywhale** organization and all the amazing people who prepared the images and labels wasn't ruined by any leakage hunters. Thank you and my big respect!", "votes": null }, { "id": "1763776", "postDate": "04/21/2022 19:53:27", "content": "Huge thanks to you for your job! This competition was really tough, but the experience of \"climbing that mountain\" is really priceless. And again my congratulations to all winners and to those who got their medals only after the filtering of the LB🙏
", "rawMarkdown": "Huge thanks to you for your job! This competition was really tough, but the experience of \"climbing that mountain\" is really priceless. And again my congratulations to all winners and to those who got their medals only after the filtering of the LB🙏", "votes": null }, { "id": "1772208", "postDate": "04/30/2022 01:45:33", "content": "Be sure to check out this new beluga whale ID competition (sadly not on kaggle).
", "rawMarkdown": "Be sure to check out this [new beluga whale ID competition](https://www.drivendata.org/competitions/96/beluga-whales/page/478/) (sadly not on kaggle).", "votes": null } ], "comments": [ { "id": 1763053, "author_name": "init27", "author_url": "", "post_date": "04/21/2022 08:40:41", "content": "\n\nFun fact: The winning submission was made with only 56 seconds to spare!
\n
Who says Kagglers aren't adventurous? 😁
\nCongratulations everyone! 🙏
\nTime for me to make chai and start requesting winners for their time 😄🍵
", "votes": null, "replies": [] }, { "id": 1763081, "author_name": "kwentar", "author_url": "", "post_date": "04/21/2022 09:00:03", "content": "Thank you for the competition, we are waiting for the third one :)
", "votes": null, "replies": [ { "id": 1772208, "author_name": "philtpatton", "author_url": "", "post_date": "04/30/2022 01:45:33", "content": "Be sure to check out this new beluga whale ID competition (sadly not on kaggle).
", "votes": null, "replies": [] } ] }, { "id": 1763657, "author_name": "blankaf", "author_url": "", "post_date": "04/21/2022 17:18:08", "content": "@wcukierski , @addisonhoward
\nOnce again you write in your final comment the sentence which enables more meanings:
\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules.
\n
I must agree that you really disqualified only some teams that have violated the rules.
\nSo if you stick to your claim that the teams you didn't disqualify hadn't violated the rules can you or some of your colleagues kindly publicly explain:
I repeat that I will not contact the compliance because this not about any particular team, this is a serious, disturbing, long-term systemic issue which unsolved can consequently severely harm all Kaggle competitions' reputation and lower the credit of all achievements.
\nI am really sad that just this wonderful competition was spoiled by such an ugly ending and I am happy that at least the great work of the host Happywhale organization and all the amazing people who prepared the images and labels wasn't ruined by any leakage hunters. Thank you and my big respect!
", "votes": null, "replies": [] }, { "id": 1763776, "author_name": "alexkfd", "author_url": "", "post_date": "04/21/2022 19:53:27", "content": "Huge thanks to you for your job! This competition was really tough, but the experience of \"climbing that mountain\" is really priceless. And again my congratulations to all winners and to those who got their medals only after the filtering of the LB🙏
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1762896": "Hey Kagglers,\n\nWe’re happy to announce the conclusion of the Happywhale - Whale and Dolphin Identification competition! We’ve worked with the Happywhale team in the past on other competitions, and we’re always excited to see how your solutions are placed directly in production to further conservation efforts. We’re proud to be a home where we can make a positive impact on the world, especially when those opportunities help further the state-of-the-art in machine learning and help Kagglers grow.\n\nThis competition ended with 10,708 individuals joining the competition, 2,070 participants making a submission on 1,588 teams! We had 39,284 submissions from 83 countries! For 350 users (including 4 users in the top 20 teams!), this was their first competition. An additional congratulations goes out to our 2 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 with only 56 seconds to spare!*\n\nI also want to give a massive thanks to our host of this competition. [Ted](https://www.kaggle.com/tedcheese) has always esteemed the Kaggle community with the highest regard, seen the value of what the Kaggle community can provide, and has time-and-time again brought engaging challenge to Kaggle, and brought the winning solutions to the field.\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/happy-whale-and-dolphin/discussion/320192)\n- [3rd Place part 1](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319789)\n- [3rd Place part 2](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319896)\n- [3rd Place supplement](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/320191)\n- [4th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/320040)\n- [6th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319829)\n- [7th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/320026)\n- [8th Place part 1](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319868)\n- [8th Place part 2](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319894)\n- [10th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319941)\n- [11th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319916)\n- [18th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319828)\n- [19th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/320298)\n- [22nd Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319806)\n- [29th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319851)\n- [30th Place](https://admin.kaggle.com/competitions/happy-whale-and-dolphin/discussion/320205)\n- [49th Place](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/319911)\n\n\n###Other Top Discussions\n- [cropped & resized (512 x 512) dataset using detic](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/305503)\n- [🐧 \nThings to know before starting image preprocessing](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/308026)\n- [9 Computer Vision Tricks to Improve Performance](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/310105)\n- [Releasing my Dorsal Fin Dataset & Code](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/310153)\n- [Reduced Resolution Image Data (128 x 128, 256 x 256, 384 x 384) 🐋](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/304686)\n- [7 More Computer Vision Tricks to Improve Score](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/311211)\n- [Previous Happywhale Competition Solutions](https://www.kaggle.com/competitions/happy-whale-and-dolphin/discussion/304504)\n\n###Top Notebooks\n- [[Pytorch] ArcFace + GeM Pooling Starter](https://www.kaggle.com/code/debarshichanda/pytorch-arcface-gem-pooling-starter)\n- [HappyWhale ArcFace Baseline (TPU)](https://www.kaggle.com/code/ks2019/happywhale-arcface-baseline-tpu)\n- [Happywhale: Data Distribution 🐋🐬](https://www.kaggle.com/code/awsaf49/happywhale-data-distribution)\n- [☀️Remove background - Salient Object Detection☀️](https://www.kaggle.com/code/remekkinas/remove-background-salient-object-detection)\n- [🐬Whales&Dolphins: EffNet Embedding cos Distance](https://www.kaggle.com/code/andradaolteanu/whales-dolphins-effnet-embedding-cos-distance)\n- [🐋🐬 PyTorch ⚡ BackFin ConvNeXt ArcFace](https://www.kaggle.com/code/clemchris/pytorch-backfin-convnext-arcface)\n- [Happywhale: Cropped Dataset [YOLOv5] ✂️](https://www.kaggle.com/code/awsaf49/happywhale-cropped-dataset-yolov5)", "1763053": "> Fun fact: The winning submission was made with only 56 seconds to spare!\n\nWho says Kagglers aren't adventurous? 😁\n\nCongratulations everyone! 🙏\n\nTime for me to make chai and start requesting winners for their time 😄🍵", "1763081": "Thank you for the competition, we are waiting for the third one :)", "1763657": "wcukierski , @addisonhoward \nOnce again you write in your final comment the sentence which enables more meanings:\n \n> We've cleaned the leaderboard and disqualified some teams that have violated the rules.\n\nI must agree that you really disqualified **only some** teams that have violated the rules. \nSo if you stick to your claim that the teams you didn't disqualify hadn't violated the rules can you or some of your colleagues kindly publicly explain:\n1. How can a competitor **legally get a silver medal after 1 day and reach the Competition Expert tier after only 2 days of overall activity on Kaggle** unless he (she) is a genius worth Turing Award? \nAnd should we be proud and humbled because we have several teams consisting only of similar sudden geniuses still among us?\n2. **Where is the line of difference** that some teams showing (based on publicly available data) the very same patterns of behaviour are disqualified and other teams are not? What other \"quality\" must they have?\n\nI repeat that I will not contact the compliance because this not about any particular team, this is a serious, disturbing, **long-term systemic issue** which unsolved can consequently severely harm all Kaggle competitions' reputation and lower the credit of all achievements.\n\nI am really sad that just this wonderful competition was spoiled by such an ugly ending and I am happy that at least the great work of the host **Happywhale** organization and all the amazing people who prepared the images and labels wasn't ruined by any leakage hunters. Thank you and my big respect!", "1763776": "Huge thanks to you for your job! This competition was really tough, but the experience of \"climbing that mountain\" is really priceless. And again my congratulations to all winners and to those who got their medals only after the filtering of the LB🙏", "1772208": "Be sure to check out this [new beluga whale ID competition](https://www.drivendata.org/competitions/96/beluga-whales/page/478/) (sadly not on kaggle)." }, "source": "meta" }