Hi Kagglers,
\nWe’re happy to announce the conclusion of the Vesuvius Challenge - Surface Detection competition. Thank you everyone for your participation!
\nThis competition ended with 7,848 registrations and 1,626 participants on 1,391 teams. We had 30,824 submissions from 83 countries. For 233 users (including 22 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.
\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.
\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see instructions). You may also refer to Kaggle Solution Write-Up Documentation for guidance. You are also encouraged to publish your models on Kaggle Models!
\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!
\nHappy Modeling!\nKaggle Team
", "messages": [ { "id": "3417076", "postDate": "03/04/2026 15:05:01", "content": "Hi Kagglers,
\nWe’re happy to announce the conclusion of the Vesuvius Challenge - Surface Detection competition. Thank you everyone for your participation!
\nThis competition ended with 7,848 registrations and 1,626 participants on 1,391 teams. We had 30,824 submissions from 83 countries. For 233 users (including 22 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.
\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.
\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see instructions). You may also refer to Kaggle Solution Write-Up Documentation for guidance. You are also encouraged to publish your models on Kaggle Models!
\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!
\nHappy Modeling!\nKaggle Team
", "rawMarkdown": "Hi Kagglers,\n\nWe’re happy to announce the conclusion of the Vesuvius Challenge - Surface Detection competition. Thank you everyone for your participation!\n\nThis competition ended with 7,848 registrations and 1,626 participants on 1,391 teams. We had 30,824 submissions from 83 countries. For 233 users (including 22 in the top 100!), this was their first 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\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.\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\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see [instructions](https://www.kaggle.com/discussions/product-feedback/373153)). You may also refer to [Kaggle Solution Write-Up Documentation](https://www.kaggle.com/solution-write-up-documentation) for guidance. You are also encouraged to [publish your models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!\n\nHappy Modeling!\nKaggle Team", "votes": null }, { "id": "3417137", "postDate": "03/04/2026 17:12:31", "content": "I'm very pleased
", "rawMarkdown": "I'm very pleased", "votes": null } ], "comments": [ { "id": 3417137, "author_name": "ggayoayogg", "author_url": "", "post_date": "03/04/2026 17:12:31", "content": "I'm very pleased
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "3417076": "Hi Kagglers,\n\nWe’re happy to announce the conclusion of the Vesuvius Challenge - Surface Detection competition. Thank you everyone for your participation!\n\nThis competition ended with 7,848 registrations and 1,626 participants on 1,391 teams. We had 30,824 submissions from 83 countries. For 233 users (including 22 in the top 100!), this was their first 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\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.\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\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see [instructions](https://www.kaggle.com/discussions/product-feedback/373153)). You may also refer to [Kaggle Solution Write-Up Documentation](https://www.kaggle.com/solution-write-up-documentation) for guidance. You are also encouraged to [publish your models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!\n\nHappy Modeling!\nKaggle Team", "3417137": "I'm very pleased" }, "source": "meta" }