Hi Kagglers,
\nWe’re happy to announce the conclusion of the CSIRO - Image2Biomass Prediction competition. Thank you everyone for your participation!
\nThis competition ended with 13,913 registrations and 4,460 participants on 3,802 teams. We had 98,375 submissions from 109 countries. For 1,224 users (including 52 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": "3399345", "postDate": "01/30/2026 17:29:06", "content": "Hi Kagglers,
\nWe’re happy to announce the conclusion of the CSIRO - Image2Biomass Prediction competition. Thank you everyone for your participation!
\nThis competition ended with 13,913 registrations and 4,460 participants on 3,802 teams. We had 98,375 submissions from 109 countries. For 1,224 users (including 52 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 CSIRO - Image2Biomass Prediction competition. Thank you everyone for your participation!\n\nThis competition ended with 13,913 registrations and 4,460 participants on 3,802 teams. We had 98,375 submissions from 109 countries. For 1,224 users (including 52 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!\n\nKaggle Team", "votes": null }, { "id": "3399367", "postDate": "01/30/2026 18:22:39", "content": "Thank you for hosting such interesting competition
", "rawMarkdown": "Thank you for hosting such interesting competition", "votes": null }, { "id": "3399832", "postDate": "01/31/2026 11:49:02", "content": "Can someone explain how the score changed?\nMy score dropped from 0.61 to 0.50, and I’m not sure why
", "rawMarkdown": "Can someone explain how the score changed?\nMy score dropped from 0.61 to 0.50, and I’m not sure why", "votes": null }, { "id": "3399878", "postDate": "01/31/2026 12:47:33", "content": "It's called private leaderboard. Hosts generally keep a part kf test set hidden until very end your score of 0.61 was on public LB while the final ranking is calculated on that other hidden dataset
", "rawMarkdown": "It's called private leaderboard. Hosts generally keep a part kf test set hidden until very end your score of 0.61 was on public LB while the final ranking is calculated on that other hidden dataset", "votes": null }, { "id": "3450261", "postDate": "04/29/2026 15:25:49", "content": "Is there any chance that we could download the full set of 1162 images now that the competition has ended?
", "rawMarkdown": "Is there any chance that we could download the full set of 1162 images now that the competition has ended?", "votes": null } ], "comments": [ { "id": 3399367, "author_name": "pushpakbhoge", "author_url": "", "post_date": "01/30/2026 18:22:39", "content": "Thank you for hosting such interesting competition
", "votes": null, "replies": [] }, { "id": 3399832, "author_name": "tarekziad", "author_url": "", "post_date": "01/31/2026 11:49:02", "content": "Can someone explain how the score changed?\nMy score dropped from 0.61 to 0.50, and I’m not sure why
", "votes": null, "replies": [ { "id": 3399878, "author_name": "pushpakbhoge", "author_url": "", "post_date": "01/31/2026 12:47:33", "content": "It's called private leaderboard. Hosts generally keep a part kf test set hidden until very end your score of 0.61 was on public LB while the final ranking is calculated on that other hidden dataset
", "votes": null, "replies": [] } ] }, { "id": 3450261, "author_name": "rapinn", "author_url": "", "post_date": "04/29/2026 15:25:49", "content": "Is there any chance that we could download the full set of 1162 images now that the competition has ended?
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "3399345": "Hi Kagglers,\n\nWe’re happy to announce the conclusion of the CSIRO - Image2Biomass Prediction competition. Thank you everyone for your participation!\n\nThis competition ended with 13,913 registrations and 4,460 participants on 3,802 teams. We had 98,375 submissions from 109 countries. For 1,224 users (including 52 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!\n\nKaggle Team", "3399367": "Thank you for hosting such interesting competition", "3399832": "Can someone explain how the score changed?\nMy score dropped from 0.61 to 0.50, and I’m not sure why", "3399878": "It's called private leaderboard. Hosts generally keep a part kf test set hidden until very end your score of 0.61 was on public LB while the final ranking is calculated on that other hidden dataset", "3450261": "Is there any chance that we could download the full set of 1162 images now that the competition has ended?" }, "source": "meta" }