{
  "id": 307877,
  "title": "genus_id0 don't have 61 number how to solve it? ",
  "url": "/competitions/herbarium-2022-fgvc9/discussion/307877",
  "author_name": "Wongi Park",
  "post_date": "2022-02-16T02:50:55.947000",
  "votes": 10,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I hope use distance data but, genus_id don't have 61 number.<br>\nand distance meta data get gat 61 number.<br>\nhow to solve it?<br>\n<br><br>\n<a href=\"https://postimg.cc/7CD0CVvH\" target=\"_blank\"><img src=\"https://i.postimg.cc/7CD0CVvH/genus.jpg\" alt=\"genus\"></a><br>\n<br><br>\n<a href=\"https://postimg.cc/N9Z0Xsy6\" target=\"_blank\"><img src=\"https://i.postimg.cc/N9Z0Xsy6/fdsfsdf.jpg\" alt=\"fdsfsdf\"></a></p>",
  "messages": [
    {
      "id": 1692415,
      "postDate": "2022-02-16T02:50:55.947Z",
      "content": "<p>I hope use distance data but, genus_id don't have 61 number.<br>\nand distance meta data get gat 61 number.<br>\nhow to solve it?<br>\n<br><br>\n<a href=\"https://postimg.cc/7CD0CVvH\" target=\"_blank\"><img src=\"https://i.postimg.cc/7CD0CVvH/genus.jpg\" alt=\"genus\"></a><br>\n<br><br>\n<a href=\"https://postimg.cc/N9Z0Xsy6\" target=\"_blank\"><img src=\"https://i.postimg.cc/N9Z0Xsy6/fdsfsdf.jpg\" alt=\"fdsfsdf\"></a></p>",
      "rawMarkdown": "I hope use distance data but, genus_id don't have 61 number.\nand distance meta data get gat 61 number.\nhow to solve it?\n<br>\n<a href='https://postimg.cc/7CD0CVvH' target='_blank'><img src='https://i.postimg.cc/7CD0CVvH/genus.jpg' border='0' alt='genus'/></a>\n<br>\n<a href='https://postimg.cc/N9Z0Xsy6' target='_blank'><img src='https://i.postimg.cc/N9Z0Xsy6/fdsfsdf.jpg' border='0' alt='fdsfsdf'/></a>",
      "votes": 10
    },
    {
      "id": 1692731,
      "postDate": "2022-02-16T07:55:06.263Z",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/kalelpark\" target=\"_blank\">@kalelpark</a>, sorry about the confusion that not all genus_ids present in the image and genera metadata. Some are actually removed during the data curation and are not included in the dataset, except that they are only left in the <code>distances</code> metadata. You can simply ignore them and just use the genus_ids you can find from the <code>annotations</code> <code>images</code> <code>genera</code> metadata, since genus_ids in these metadata are the same. To clarify, removed genus_ids are: [24, 61, 179, 425, 473, 659, 750, 822, 868, 1119, 1161, 1287, 1819, 1899, 1904, 2149, 2169, 2442, 2460, 2481].  </p>",
      "rawMarkdown": "Hi @kalelpark, sorry about the confusion that not all genus_ids present in the image and genera metadata. Some are actually removed during the data curation and are not included in the dataset, except that they are only left in the `distances` metadata. You can simply ignore them and just use the genus_ids you can find from the `annotations` `images` `genera` metadata, since genus_ids in these metadata are the same. To clarify, removed genus_ids are: [24, 61, 179, 425, 473, 659, 750, 822, 868, 1119, 1161, 1287, 1819, 1899, 1904, 2149, 2169, 2442, 2460, 2481].  ",
      "votes": 1,
      "replies": [
        {
          "id": 1692753,
          "postDate": "2022-02-16T08:08:57.257Z",
          "content": "<p>Thanks give comment!!!!👍👍👍👍 </p>",
          "rawMarkdown": "Thanks give comment!!!!👍👍👍👍 ",
          "votes": 1
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 1692731,
      "author_name": "John Park",
      "author_url": "",
      "post_date": "2022-02-16T07:55:06.263000",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/kalelpark\" target=\"_blank\">@kalelpark</a>, sorry about the confusion that not all genus_ids present in the image and genera metadata. Some are actually removed during the data curation and are not included in the dataset, except that they are only left in the <code>distances</code> metadata. You can simply ignore them and just use the genus_ids you can find from the <code>annotations</code> <code>images</code> <code>genera</code> metadata, since genus_ids in these metadata are the same. To clarify, removed genus_ids are: [24, 61, 179, 425, 473, 659, 750, 822, 868, 1119, 1161, 1287, 1819, 1899, 1904, 2149, 2169, 2442, 2460, 2481].  </p>",
      "votes": 1,
      "replies": [
        {
          "id": 1692753,
          "author_name": "Wongi Park",
          "author_url": "",
          "post_date": "2022-02-16T08:08:57.257000",
          "content": "<p>Thanks give comment!!!!👍👍👍👍 </p>",
          "votes": 1,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1692415": "I hope use distance data but, genus_id don't have 61 number.\nand distance meta data get gat 61 number.\nhow to solve it?\n<br>\n<a href='https://postimg.cc/7CD0CVvH' target='_blank'><img src='https://i.postimg.cc/7CD0CVvH/genus.jpg' border='0' alt='genus'/></a>\n<br>\n<a href='https://postimg.cc/N9Z0Xsy6' target='_blank'><img src='https://i.postimg.cc/N9Z0Xsy6/fdsfsdf.jpg' border='0' alt='fdsfsdf'/></a>",
    "1692731": "Hi @kalelpark, sorry about the confusion that not all genus_ids present in the image and genera metadata. Some are actually removed during the data curation and are not included in the dataset, except that they are only left in the `distances` metadata. You can simply ignore them and just use the genus_ids you can find from the `annotations` `images` `genera` metadata, since genus_ids in these metadata are the same. To clarify, removed genus_ids are: [24, 61, 179, 425, 473, 659, 750, 822, 868, 1119, 1161, 1287, 1819, 1899, 1904, 2149, 2169, 2442, 2460, 2481].  "
  }
}