{
  "id": 315103,
  "title": "[Paper] Herbarium sheet segmentation",
  "url": "/competitions/herbarium-2022-fgvc9/discussion/315103",
  "author_name": "Carl McBride Ellis",
  "post_date": "2022-03-26T08:47:06.933000",
  "votes": 7,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I am not participating in this competition, so I am not sure if this post is germane, but on the off-chance that it is there is a very recent publication that may be of interest, with a section regarding herbarium sheet segmentation:</p>\n<ul>\n<li><a href=\"https://link.springer.com/article/10.1007/s00138-022-01276-z\" target=\"_blank\">\"<em>Cross-validation of a semantic segmentation network for natural history collection specimens\"</em>, Machine Vision and Applications volume <strong>33</strong>, Article number: 39 (2022)</a>  (Open Access)</li>\n<li><a href=\"https://github.com/NaturalHistoryMuseum/semantic-segmentation\" target=\"_blank\">Semi-supervised semantic and instance segmentation</a> - GitHub</li>\n</ul>\n<p>See also the press release: <a href=\"https://www.cardiff.ac.uk/news/view/2613739-artificial-intelligence-to-bring-museum-specimens-to-the-masses\" target=\"_blank\">\"Artificial intelligence to bring museum specimens to the masses\"</a></p>\n<p>All the best and good luck to all,<br>\ncarl</p>",
  "messages": [
    {
      "id": 1735429,
      "postDate": "2022-03-26T08:47:06.933Z",
      "content": "<p>I am not participating in this competition, so I am not sure if this post is germane, but on the off-chance that it is there is a very recent publication that may be of interest, with a section regarding herbarium sheet segmentation:</p>\n<ul>\n<li><a href=\"https://link.springer.com/article/10.1007/s00138-022-01276-z\" target=\"_blank\">\"<em>Cross-validation of a semantic segmentation network for natural history collection specimens\"</em>, Machine Vision and Applications volume <strong>33</strong>, Article number: 39 (2022)</a>  (Open Access)</li>\n<li><a href=\"https://github.com/NaturalHistoryMuseum/semantic-segmentation\" target=\"_blank\">Semi-supervised semantic and instance segmentation</a> - GitHub</li>\n</ul>\n<p>See also the press release: <a href=\"https://www.cardiff.ac.uk/news/view/2613739-artificial-intelligence-to-bring-museum-specimens-to-the-masses\" target=\"_blank\">\"Artificial intelligence to bring museum specimens to the masses\"</a></p>\n<p>All the best and good luck to all,<br>\ncarl</p>",
      "rawMarkdown": "I am not participating in this competition, so I am not sure if this post is germane, but on the off-chance that it is there is a very recent publication that may be of interest, with a section regarding herbarium sheet segmentation:\n\n* [\"*Cross-validation of a semantic segmentation network for natural history collection specimens\"*, Machine Vision and Applications volume **33**, Article number: 39 (2022)](https://link.springer.com/article/10.1007/s00138-022-01276-z)  (Open Access)\n* [Semi-supervised semantic and instance segmentation](https://github.com/NaturalHistoryMuseum/semantic-segmentation) - GitHub\n\nSee also the press release: [\"Artificial intelligence to bring museum specimens to the masses\"](https://www.cardiff.ac.uk/news/view/2613739-artificial-intelligence-to-bring-museum-specimens-to-the-masses)\n\nAll the best and good luck to all,\ncarl",
      "votes": 7
    },
    {
      "id": 1778962,
      "postDate": "2022-05-06T00:28:25.873Z",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/carlmcbrideellis\" target=\"_blank\">@carlmcbrideellis</a>! Thanks for sharing this information with everyone! Especially with the github repo, it would be possible to quickly implement their method to the herbarium 2022 dataset. </p>",
      "rawMarkdown": "Hi @carlmcbrideellis! Thanks for sharing this information with everyone! Especially with the github repo, it would be possible to quickly implement their method to the herbarium 2022 dataset. ",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 1778962,
      "author_name": "John Park",
      "author_url": "",
      "post_date": "2022-05-06T00:28:25.873000",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/carlmcbrideellis\" target=\"_blank\">@carlmcbrideellis</a>! Thanks for sharing this information with everyone! Especially with the github repo, it would be possible to quickly implement their method to the herbarium 2022 dataset. </p>",
      "votes": 1,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1735429": "I am not participating in this competition, so I am not sure if this post is germane, but on the off-chance that it is there is a very recent publication that may be of interest, with a section regarding herbarium sheet segmentation:\n\n* [\"*Cross-validation of a semantic segmentation network for natural history collection specimens\"*, Machine Vision and Applications volume **33**, Article number: 39 (2022)](https://link.springer.com/article/10.1007/s00138-022-01276-z)  (Open Access)\n* [Semi-supervised semantic and instance segmentation](https://github.com/NaturalHistoryMuseum/semantic-segmentation) - GitHub\n\nSee also the press release: [\"Artificial intelligence to bring museum specimens to the masses\"](https://www.cardiff.ac.uk/news/view/2613739-artificial-intelligence-to-bring-museum-specimens-to-the-masses)\n\nAll the best and good luck to all,\ncarl",
    "1778962": "Hi @carlmcbrideellis! Thanks for sharing this information with everyone! Especially with the github repo, it would be possible to quickly implement their method to the herbarium 2022 dataset. "
  }
}