{
  "id": 253601,
  "title": "Studies from \"Atypical appearance\"  have images with no bounding box",
  "url": "/competitions/siim-covid19-detection/discussion/253601",
  "author_name": "",
  "post_date": "2021-07-17T11:55:12.490053500Z",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>There are  474  studies  which are from the \"Atypical Appearance\" category.<br>\nThese 474 studies have  483 images . Out of these almost 92 images don't have <br>\nbounding boxes. This is pretty high ratio.  </p>\n<p>I was hoping  a image belonging to a study especially from to \"Atypical Appearance\" to have bounding boxes. <br>\nFor the  category \"Indeterminate Appearance\"  there are 1049 studies.  There are 1108 images belonging to this category of studies, only 59 images have don't have bounding box.</p>\n<p><a href=\"https://www.kaggle.com/rajesh1226/visual-inspection-of-data-from-category-of-study\" target=\"_blank\">https://www.kaggle.com/rajesh1226/visual-inspection-of-data-from-category-of-study</a></p>",
  "messages": [
    {
      "id": "1391213",
      "postDate": "07/17/2021 11:55:12",
      "content": "<p>There are  474  studies  which are from the \"Atypical Appearance\" category.<br>\nThese 474 studies have  483 images . Out of these almost 92 images don't have <br>\nbounding boxes. This is pretty high ratio.  </p>\n<p>I was hoping  a image belonging to a study especially from to \"Atypical Appearance\" to have bounding boxes. <br>\nFor the  category \"Indeterminate Appearance\"  there are 1049 studies.  There are 1108 images belonging to this category of studies, only 59 images have don't have bounding box.</p>\n<p><a href=\"https://www.kaggle.com/rajesh1226/visual-inspection-of-data-from-category-of-study\" target=\"_blank\">https://www.kaggle.com/rajesh1226/visual-inspection-of-data-from-category-of-study</a></p>",
      "rawMarkdown": "There are  474  studies  which are from the \"Atypical Appearance\" category.\nThese 474 studies have  483 images . Out of these almost 92 images don't have \nbounding boxes. This is pretty high ratio.  \n\nI was hoping  a image belonging to a study especially from to \"Atypical Appearance\" to have bounding boxes. \nFor the  category \"Indeterminate Appearance\"  there are 1049 studies.  There are 1108 images belonging to this category of studies, only 59 images have don't have bounding box.\n\nhttps://www.kaggle.com/rajesh1226/visual-inspection-of-data-from-category-of-study",
      "votes": null
    },
    {
      "id": "1392141",
      "postDate": "07/18/2021 11:56:28",
      "content": "<blockquote>\n  <p>only 59 images have don't have bounding box.</p>\n</blockquote>\n<p>I’m confused :)</p>",
      "rawMarkdown": "> only 59 images have don't have bounding box.\n\nI’m confused :)",
      "votes": null
    },
    {
      "id": "1392636",
      "postDate": "07/18/2021 23:30:17",
      "content": "<p>The images that have a positive study label (typical, indeterminate or atypical) but have no bounding boxes have not been looked at by the annotators, so you decide how you want to deal with them. They are not necessarily negative, but they are not guaranteed to be positive either.</p>\n<p>For more information, see the organizer's thread here <a href=\"https://www.kaggle.com/c/siim-covid19-detection/discussion/246597\" target=\"_blank\">https://www.kaggle.com/c/siim-covid19-detection/discussion/246597</a></p>",
      "rawMarkdown": "The images that have a positive study label (typical, indeterminate or atypical) but have no bounding boxes have not been looked at by the annotators, so you decide how you want to deal with them. They are not necessarily negative, but they are not guaranteed to be positive either.\n\nFor more information, see the organizer's thread here https://www.kaggle.com/c/siim-covid19-detection/discussion/246597",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1392141,
      "author_name": "aroraaman",
      "author_url": "",
      "post_date": "07/18/2021 11:56:28",
      "content": "<blockquote>\n  <p>only 59 images have don't have bounding box.</p>\n</blockquote>\n<p>I’m confused :)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1392636,
      "author_name": "yousof9",
      "author_url": "",
      "post_date": "07/18/2021 23:30:17",
      "content": "<p>The images that have a positive study label (typical, indeterminate or atypical) but have no bounding boxes have not been looked at by the annotators, so you decide how you want to deal with them. They are not necessarily negative, but they are not guaranteed to be positive either.</p>\n<p>For more information, see the organizer's thread here <a href=\"https://www.kaggle.com/c/siim-covid19-detection/discussion/246597\" target=\"_blank\">https://www.kaggle.com/c/siim-covid19-detection/discussion/246597</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1391213": "There are  474  studies  which are from the \"Atypical Appearance\" category.\nThese 474 studies have  483 images . Out of these almost 92 images don't have \nbounding boxes. This is pretty high ratio.  \n\nI was hoping  a image belonging to a study especially from to \"Atypical Appearance\" to have bounding boxes. \nFor the  category \"Indeterminate Appearance\"  there are 1049 studies.  There are 1108 images belonging to this category of studies, only 59 images have don't have bounding box.\n\nhttps://www.kaggle.com/rajesh1226/visual-inspection-of-data-from-category-of-study",
    "1392141": "> only 59 images have don't have bounding box.\n\nI’m confused :)",
    "1392636": "The images that have a positive study label (typical, indeterminate or atypical) but have no bounding boxes have not been looked at by the annotators, so you decide how you want to deal with them. They are not necessarily negative, but they are not guaranteed to be positive either.\n\nFor more information, see the organizer's thread here https://www.kaggle.com/c/siim-covid19-detection/discussion/246597"
  },
  "source": "meta"
}