{
  "id": 219365,
  "title": "Is one or both of the classes correct in this case?",
  "url": "/competitions/vinbigdata-chest-xray-abnormalities-detection/discussion/219365",
  "author_name": "fam_taro",
  "post_date": "2021-02-14T16:12:39.777000",
  "votes": 4,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I'm looking at the data to start a competition but I'm confused.<br>\nIn this case, two classes are assigned by same annotator to same bounding box.</p>\n<p>I think there are two possibilities in this case.</p>\n<ul>\n<li>Either one of them is wrong</li>\n<li>Both are correct (it includes both <code>Pulmonary fibrosis</code> and <code>Other lesion</code>)</li>\n</ul>\n<p>Does anyone know what to do in this case?</p>\n<p><code>image_id: afb6230703512afc370f236e8fe98806</code></p>\n<table>\n<thead>\n<tr>\n<th>class_name</th>\n<th>class_id</th>\n<th>rad_id</th>\n<th>x_min</th>\n<th>y_min</th>\n<th>x_max</th>\n<th>y_max</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Other lesion</td>\n<td>9</td>\n<td>R10</td>\n<td>488</td>\n<td>1602</td>\n<td>1093</td>\n<td>1931</td>\n</tr>\n<tr>\n<td>Pulmonary fibrosis</td>\n<td>13</td>\n<td>R10</td>\n<td>488</td>\n<td>1602</td>\n<td>1093</td>\n<td>1931</td>\n</tr>\n</tbody>\n</table>",
  "messages": [
    {
      "id": 1200394,
      "postDate": "2021-02-14T16:12:39.777Z",
      "content": "<p>I'm looking at the data to start a competition but I'm confused.<br>\nIn this case, two classes are assigned by same annotator to same bounding box.</p>\n<p>I think there are two possibilities in this case.</p>\n<ul>\n<li>Either one of them is wrong</li>\n<li>Both are correct (it includes both <code>Pulmonary fibrosis</code> and <code>Other lesion</code>)</li>\n</ul>\n<p>Does anyone know what to do in this case?</p>\n<p><code>image_id: afb6230703512afc370f236e8fe98806</code></p>\n<table>\n<thead>\n<tr>\n<th>class_name</th>\n<th>class_id</th>\n<th>rad_id</th>\n<th>x_min</th>\n<th>y_min</th>\n<th>x_max</th>\n<th>y_max</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Other lesion</td>\n<td>9</td>\n<td>R10</td>\n<td>488</td>\n<td>1602</td>\n<td>1093</td>\n<td>1931</td>\n</tr>\n<tr>\n<td>Pulmonary fibrosis</td>\n<td>13</td>\n<td>R10</td>\n<td>488</td>\n<td>1602</td>\n<td>1093</td>\n<td>1931</td>\n</tr>\n</tbody>\n</table>",
      "rawMarkdown": "I'm looking at the data to start a competition but I'm confused.\nIn this case, two classes are assigned by same annotator to same bounding box.\n\nI think there are two possibilities in this case.\n\n- Either one of them is wrong\n- Both are correct (it includes both `Pulmonary fibrosis` and `Other lesion`)\n\nDoes anyone know what to do in this case?\n\n\n`image_id: afb6230703512afc370f236e8fe98806`\n| class_name | class_id | rad_id | x_min | y_min | x_max | y_max |\n|:--|:--|:--|:--|:--|:--|:--|\n| Other lesion | 9 | R10 | 488 | 1602 | 1093 | 1931 |\n| Pulmonary fibrosis | 13 | R10 | 488 | 1602 | 1093 | 1931 |",
      "votes": 4
    },
    {
      "id": 1200767,
      "postDate": "2021-02-15T01:26:21.403Z",
      "content": "<p>According to Competition Host, </p>\n<blockquote>\n  <p>Some dense lesion area contains many labels, our radiologists created a box then assign many labels to that box.</p>\n</blockquote>\n<p><a href=\"https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/discussion/209298#1141975\" target=\"_blank\">https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/discussion/209298#1141975</a></p>\n<p>It seems both are correct.</p>",
      "rawMarkdown": "According to Competition Host, \n> Some dense lesion area contains many labels, our radiologists created a box then assign many labels to that box.\n\nhttps://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/discussion/209298#1141975\n\nIt seems both are correct.\n",
      "votes": 2,
      "replies": [
        {
          "id": 1200768,
          "postDate": "2021-02-15T01:35:46.720Z",
          "content": "<p>Thanks for letting me know. I got it.</p>",
          "rawMarkdown": "Thanks for letting me know. I got it.",
          "votes": 1
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 1200767,
      "author_name": "tn",
      "author_url": "",
      "post_date": "2021-02-15T01:26:21.403000",
      "content": "<p>According to Competition Host, </p>\n<blockquote>\n  <p>Some dense lesion area contains many labels, our radiologists created a box then assign many labels to that box.</p>\n</blockquote>\n<p><a href=\"https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/discussion/209298#1141975\" target=\"_blank\">https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/discussion/209298#1141975</a></p>\n<p>It seems both are correct.</p>",
      "votes": 2,
      "replies": [
        {
          "id": 1200768,
          "author_name": "fam_taro",
          "author_url": "",
          "post_date": "2021-02-15T01:35:46.720000",
          "content": "<p>Thanks for letting me know. I got it.</p>",
          "votes": 1,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1200394": "I'm looking at the data to start a competition but I'm confused.\nIn this case, two classes are assigned by same annotator to same bounding box.\n\nI think there are two possibilities in this case.\n\n- Either one of them is wrong\n- Both are correct (it includes both `Pulmonary fibrosis` and `Other lesion`)\n\nDoes anyone know what to do in this case?\n\n\n`image_id: afb6230703512afc370f236e8fe98806`\n| class_name | class_id | rad_id | x_min | y_min | x_max | y_max |\n|:--|:--|:--|:--|:--|:--|:--|\n| Other lesion | 9 | R10 | 488 | 1602 | 1093 | 1931 |\n| Pulmonary fibrosis | 13 | R10 | 488 | 1602 | 1093 | 1931 |",
    "1200767": "According to Competition Host, \n> Some dense lesion area contains many labels, our radiologists created a box then assign many labels to that box.\n\nhttps://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/discussion/209298#1141975\n\nIt seems both are correct.\n"
  }
}