Hey Kagglers,
\nWe’re happy to announce the conclusion of the Sartorius - Cell Instance Segmentation competition! We love to see companies on the bleeding edge of medical research come to the Kaggle community to further world health.
\nThis competition ended with 9,796 registrations, 2,058 participants on 1,559 teams! We had 34,378 submissions from 84 countries! For 361 users (including 31 users on top 100 teams!), this was their first competition. We also want to congratulate the 9 Kagglers who were promoted to Competition Master as a result of this competition! A well earned achievement. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nI also want to thank Tim and Christoffer for bringing the idea to our platform and working to make this such a successful event! We're glad they chose 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.
\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 Sartorius - Cell Instance Segmentation competition! We love to see companies on the bleeding edge of medical research come to the Kaggle community to further world health.
\nThis competition ended with 9,796 registrations, 2,058 participants on 1,559 teams! We had 34,378 submissions from 84 countries! For 361 users (including 31 users on top 100 teams!), this was their first competition. We also want to congratulate the 9 Kagglers who were promoted to Competition Master as a result of this competition! A well earned achievement. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nI also want to thank Tim and Christoffer for bringing the idea to our platform and working to make this such a successful event! We're glad they chose 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.
\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
Congs to the winners! Great work!
", "rawMarkdown": "Congs to the winners! Great work!", "votes": null }, { "id": "1639863", "postDate": "01/06/2022 01:56:55", "content": "i am very happy to be a master!
", "rawMarkdown": "i am very happy to be a master!", "votes": null }, { "id": "1682361", "postDate": "02/09/2022 05:48:50", "content": "thank you for posting this interesting topic.
", "rawMarkdown": "thank you for posting this interesting topic.", "votes": null }, { "id": "3420869", "postDate": "03/14/2026 04:21:56", "content": "Congraluation. Great work.
", "rawMarkdown": "Congraluation. Great work.", "votes": null } ], "comments": [ { "id": 1639747, "author_name": "junxhuang", "author_url": "", "post_date": "01/05/2022 21:48:13", "content": "Congs to the winners! Great work!
", "votes": null, "replies": [] }, { "id": 1639863, "author_name": "guohey", "author_url": "", "post_date": "01/06/2022 01:56:55", "content": "i am very happy to be a master!
", "votes": null, "replies": [] }, { "id": 1682361, "author_name": "jhs070701", "author_url": "", "post_date": "02/09/2022 05:48:50", "content": "thank you for posting this interesting topic.
", "votes": null, "replies": [] }, { "id": 3420869, "author_name": "phucmaihuu", "author_url": "", "post_date": "03/14/2026 04:21:56", "content": "Congraluation. Great work.
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1639743": "Hey Kagglers,\n\nWe’re happy to announce the conclusion of the Sartorius - Cell Instance Segmentation competition! We love to see companies on the bleeding edge of medical research come to the Kaggle community to further world health. \n\nThis competition ended with 9,796 registrations, 2,058 participants on 1,559 teams! We had 34,378 submissions from 84 countries! For 361 users (including 31 users on top 100 teams!), this was their first competition. We also want to congratulate the 9 Kagglers who were promoted to Competition Master as a result of this competition! A well earned achievement. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking! \n\nI also want to thank [Tim](https://www.kaggle.com/tjackson1) and [Christoffer](https://www.kaggle.com/christoffersartorius) for bringing the idea to our platform and working to make this such a successful event! We're glad they chose 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/c/sartorius-cell-instance-segmentation/discussion/298869)\n- [2nd Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297988)\n- [3rd Place a](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297984)\n- [3rd Place b](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298021)\n- [3rd Place c](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298073)\n- [4th Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298146)\n- [5th Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298081)\n- [6th Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297986)\n- [7th Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298002)\n- [8th Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297998)\n- [9th Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/297985)\n- [11th Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298038)\n- [22nd Place](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/298030)\n\n###Other Top Discussions\n- [Tips in submission and baseline (in the beginning of the competition) ](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/279790)\n- [Annotations Are too Noisy for the Metric](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/281205)\n- [We passed 30% of the competition, These are the stories up to this point](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/286368)\n- [The clean astro masks are here](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/291371)\n- [Threshold by class](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/284215)\n- [Tutorial: detectron 2](https://www.kaggle.com/c/sartorius-cell-instance-segmentation/discussion/280137)\n\n\n###Top Notebooks\n- [🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]](https://www.kaggle.com/julian3833/sartorius-starter-torch-mask-r-cnn-lb-0-273)\n- [[TRAIN] Sartorius Segmentation 🧬 EDA+EffDET [TF]](https://www.kaggle.com/dschettler8845/train-sartorius-segmentation-eda-effdet-tf)\n- [Positive score with Detectron 3/3 - Inference](https://www.kaggle.com/slawekbiel/positive-score-with-detectron-3-3-inference)\n- [Positive score with Detectron 2/3 - Training](https://www.kaggle.com/slawekbiel/positive-score-with-detectron-2-3-training)\n- [🧬Sartorius:🧬 InDepth EDA + Explanation + Model](https://www.kaggle.com/ishandutta/sartorius-indepth-eda-explanation-model)\n- [Sartorius Cell Instance Segmentation - EDA](https://www.kaggle.com/gunesevitan/sartorius-cell-instance-segmentation-eda)\n- [🦠 Sartorius - Starter Baseline Torch U-net [>0.0]](https://www.kaggle.com/julian3833/sartorius-starter-baseline-torch-u-net-0-0)\n- [Sartorius Segmentation - Detectron2 [Training]](https://www.kaggle.com/ammarnassanalhajali/sartorius-segmentation-detectron2-training)", "1639747": "Congs to the winners! Great work!", "1639863": "i am very happy to be a master!", "1682361": "thank you for posting this interesting topic.", "3420869": "Congraluation. Great work." }, "source": "meta" }