{
  "id": 453875,
  "title": "No images folder in the kidney_3_dense",
  "url": "/competitions/blood-vessel-segmentation/discussion/453875",
  "author_name": "",
  "post_date": "2023-11-08T04:07:50.823902800Z",
  "votes": 5,
  "comment_count": 6,
  "views": 0,
  "content": "<p>As the Title says</p>",
  "messages": [
    {
      "id": "2516904",
      "postDate": "11/08/2023 04:07:50",
      "content": "<p>As the Title says</p>",
      "rawMarkdown": "As the Title says",
      "votes": null
    },
    {
      "id": "2516994",
      "postDate": "11/08/2023 06:01:38",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/data\" target=\"_blank\">https://www.kaggle.com/competitions/blood-vessel-segmentation/data</a></p>\n<p>kidney_3_dense - A portion (500 slices) of a kidney at 50.16um resolution using BM05. Densely segmented. <strong>Note that we provide all of the images for kidney_3 in the kidney_3_sparse/images folder</strong>. This dataset accordingly has only a labels folder.</p>",
      "rawMarkdown": "https://www.kaggle.com/competitions/blood-vessel-segmentation/data\n\nkidney_3_dense - A portion (500 slices) of a kidney at 50.16um resolution using BM05. Densely segmented. **Note that we provide all of the images for kidney_3 in the kidney_3_sparse/images folder**. This dataset accordingly has only a labels folder.",
      "votes": null
    },
    {
      "id": "2522560",
      "postDate": "11/12/2023 19:31:52",
      "content": "<p>Hey David, why's that so? So you mean kidney_3 has two types of labels, one being 65% sparse and other dense. Can you please let me know the difference and any more resource to know more about this particular dataset?</p>",
      "rawMarkdown": "Hey David, why's that so? So you mean kidney_3 has two types of labels, one being 65% sparse and other dense. Can you please let me know the difference and any more resource to know more about this particular dataset?",
      "votes": null
    },
    {
      "id": "2522680",
      "postDate": "11/12/2023 23:06:45",
      "content": "<p>I don't know why the host did it that way. I just read it in the competition data section.</p>",
      "rawMarkdown": "I don't know why the host did it that way. I just read it in the competition data section.",
      "votes": null
    },
    {
      "id": "2522802",
      "postDate": "11/13/2023 04:41:16",
      "content": "<p>Alright thanks. Another thing, how is rle mask different from the labels? </p>",
      "rawMarkdown": "Alright thanks. Another thing, how is rle mask different from the labels?",
      "votes": null
    },
    {
      "id": "2523364",
      "postDate": "11/13/2023 12:46:29",
      "content": "<p>Masks are binary image files made by human annotators where black is not vascularity, and white is vascularity. RLE is an acronym for Run Length Encoding. It's a string of numbers that represents the mask image numerically. If your model outputs a binary mask, you will need to RLE encode them for submission. <br>\nHere's a thread about RLE. -&gt; <a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/453831\" target=\"_blank\">https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/453831</a></p>",
      "rawMarkdown": "Masks are binary image files made by human annotators where black is not vascularity, and white is vascularity. RLE is an acronym for Run Length Encoding. It's a string of numbers that represents the mask image numerically. If your model outputs a binary mask, you will need to RLE encode them for submission. \nHere's a thread about RLE. -> https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/453831",
      "votes": null
    },
    {
      "id": "2523375",
      "postDate": "11/13/2023 13:00:24",
      "content": "<p>Thanks a lot. That helped.</p>",
      "rawMarkdown": "Thanks a lot. That helped.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2516994,
      "author_name": "davidbroberts",
      "author_url": "",
      "post_date": "11/08/2023 06:01:38",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/data\" target=\"_blank\">https://www.kaggle.com/competitions/blood-vessel-segmentation/data</a></p>\n<p>kidney_3_dense - A portion (500 slices) of a kidney at 50.16um resolution using BM05. Densely segmented. <strong>Note that we provide all of the images for kidney_3 in the kidney_3_sparse/images folder</strong>. This dataset accordingly has only a labels folder.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2522560,
          "author_name": "simeetnayan",
          "author_url": "",
          "post_date": "11/12/2023 19:31:52",
          "content": "<p>Hey David, why's that so? So you mean kidney_3 has two types of labels, one being 65% sparse and other dense. Can you please let me know the difference and any more resource to know more about this particular dataset?</p>",
          "votes": null,
          "replies": [
            {
              "id": 2522680,
              "author_name": "davidbroberts",
              "author_url": "",
              "post_date": "11/12/2023 23:06:45",
              "content": "<p>I don't know why the host did it that way. I just read it in the competition data section.</p>",
              "votes": null,
              "replies": [
                {
                  "id": 2522802,
                  "author_name": "simeetnayan",
                  "author_url": "",
                  "post_date": "11/13/2023 04:41:16",
                  "content": "<p>Alright thanks. Another thing, how is rle mask different from the labels? </p>",
                  "votes": null,
                  "replies": [
                    {
                      "id": 2523364,
                      "author_name": "davidbroberts",
                      "author_url": "",
                      "post_date": "11/13/2023 12:46:29",
                      "content": "<p>Masks are binary image files made by human annotators where black is not vascularity, and white is vascularity. RLE is an acronym for Run Length Encoding. It's a string of numbers that represents the mask image numerically. If your model outputs a binary mask, you will need to RLE encode them for submission. <br>\nHere's a thread about RLE. -&gt; <a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/453831\" target=\"_blank\">https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/453831</a></p>",
                      "votes": null,
                      "replies": [
                        {
                          "id": 2523375,
                          "author_name": "simeetnayan",
                          "author_url": "",
                          "post_date": "11/13/2023 13:00:24",
                          "content": "<p>Thanks a lot. That helped.</p>",
                          "votes": null,
                          "replies": []
                        }
                      ]
                    }
                  ]
                }
              ]
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2516904": "As the Title says",
    "2516994": "https://www.kaggle.com/competitions/blood-vessel-segmentation/data\n\nkidney_3_dense - A portion (500 slices) of a kidney at 50.16um resolution using BM05. Densely segmented. **Note that we provide all of the images for kidney_3 in the kidney_3_sparse/images folder**. This dataset accordingly has only a labels folder.",
    "2522560": "Hey David, why's that so? So you mean kidney_3 has two types of labels, one being 65% sparse and other dense. Can you please let me know the difference and any more resource to know more about this particular dataset?",
    "2522680": "I don't know why the host did it that way. I just read it in the competition data section.",
    "2522802": "Alright thanks. Another thing, how is rle mask different from the labels?",
    "2523364": "Masks are binary image files made by human annotators where black is not vascularity, and white is vascularity. RLE is an acronym for Run Length Encoding. It's a string of numbers that represents the mask image numerically. If your model outputs a binary mask, you will need to RLE encode them for submission. \nHere's a thread about RLE. -> https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/453831",
    "2523375": "Thanks a lot. That helped."
  },
  "source": "meta"
}