{
  "id": 688951,
  "title": "🐾 New official notebook available",
  "url": "/competitions/animal-clef-2026/discussion/688951",
  "author_name": "wildlifedatasets",
  "post_date": "2026-04-07T11:57:29.377000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hello everyone,</p>\n<p>We are excited by the 172 participants, which is getting very close to last year's 207. Since the competition ends in 3 weeks, we have prepared a new <a href=\"https://www.kaggle.com/code/wildlifedatasets/animalclef2026-official-baseline-improved\" target=\"_blank\">official notebook</a> that removes some model and hyperparameter tuning.</p>\n<p>This competition is designed as a space for experimentation and shared progress. Participants collectively help surface what truly works—and just as importantly, what does not. These insights are valuable beyond leaderboard performance: they contribute to a deeper understanding of how methods behave under realistic constraints, noisy data, and diverse conditions. </p>\n<p>To obtain this information and use it in real-world projects, we would be happy if you submitted your solution to the working notes. There is no need to be in the top 100 to submit the paper. You can find more information about the proceedings in <a href=\"https://www.kaggle.com/competitions/animal-clef-2026/discussion/685131\" target=\"_blank\">the previous post</a>.</p>\n<p>On behalf of the organising committee,</p>\n<p>Lukáš Adam</p>",
  "messages": [
    {
      "id": 3437246,
      "postDate": "2026-04-07T11:57:29.377Z",
      "content": "<p>Hello everyone,</p>\n<p>We are excited by the 172 participants, which is getting very close to last year's 207. Since the competition ends in 3 weeks, we have prepared a new <a href=\"https://www.kaggle.com/code/wildlifedatasets/animalclef2026-official-baseline-improved\" target=\"_blank\">official notebook</a> that removes some model and hyperparameter tuning.</p>\n<p>This competition is designed as a space for experimentation and shared progress. Participants collectively help surface what truly works—and just as importantly, what does not. These insights are valuable beyond leaderboard performance: they contribute to a deeper understanding of how methods behave under realistic constraints, noisy data, and diverse conditions. </p>\n<p>To obtain this information and use it in real-world projects, we would be happy if you submitted your solution to the working notes. There is no need to be in the top 100 to submit the paper. You can find more information about the proceedings in <a href=\"https://www.kaggle.com/competitions/animal-clef-2026/discussion/685131\" target=\"_blank\">the previous post</a>.</p>\n<p>On behalf of the organising committee,</p>\n<p>Lukáš Adam</p>",
      "rawMarkdown": "Hello everyone,\n\nWe are excited by the 172 participants, which is getting very close to last year's 207. Since the competition ends in 3 weeks, we have prepared a new [official notebook](https://www.kaggle.com/code/wildlifedatasets/animalclef2026-official-baseline-improved) that removes some model and hyperparameter tuning.\n\nThis competition is designed as a space for experimentation and shared progress. Participants collectively help surface what truly works—and just as importantly, what does not. These insights are valuable beyond leaderboard performance: they contribute to a deeper understanding of how methods behave under realistic constraints, noisy data, and diverse conditions. \n\nTo obtain this information and use it in real-world projects, we would be happy if you submitted your solution to the working notes. There is no need to be in the top 100 to submit the paper. You can find more information about the proceedings in [the previous post](https://www.kaggle.com/competitions/animal-clef-2026/discussion/685131).\n\nOn behalf of the organising committee,\n\nLukáš Adam\n",
      "votes": 2
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3437246": "Hello everyone,\n\nWe are excited by the 172 participants, which is getting very close to last year's 207. Since the competition ends in 3 weeks, we have prepared a new [official notebook](https://www.kaggle.com/code/wildlifedatasets/animalclef2026-official-baseline-improved) that removes some model and hyperparameter tuning.\n\nThis competition is designed as a space for experimentation and shared progress. Participants collectively help surface what truly works—and just as importantly, what does not. These insights are valuable beyond leaderboard performance: they contribute to a deeper understanding of how methods behave under realistic constraints, noisy data, and diverse conditions. \n\nTo obtain this information and use it in real-world projects, we would be happy if you submitted your solution to the working notes. There is no need to be in the top 100 to submit the paper. You can find more information about the proceedings in [the previous post](https://www.kaggle.com/competitions/animal-clef-2026/discussion/685131).\n\nOn behalf of the organising committee,\n\nLukáš Adam\n"
  }
}