{
  "id": 435815,
  "title": "Single corrupt image in the hidden test set",
  "url": "/competitions/rsna-2023-abdominal-trauma-detection/discussion/435815",
  "author_name": "Sohier Dane",
  "post_date": "2023-08-30T22:52:33.820000",
  "votes": 43,
  "comment_count": 8,
  "views": 0,
  "content": "<p>While running QC checks in response to <a href=\"(https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/432593\" target=\"_blank\">this discussion</a>), I uncovered a single image with some file corruption: <code>test_images/3124/5842/514.dcm</code>. You probably want to skip that file. Every other image passed the (very basic) check of loading the pixel array with <code>PIL.Image</code>. </p>\n<p>I don't expect to be able to update the dataset to fix that issue until next week. Thank you all for your patience and thanks to everyone who contributed to the discussion here for their contributions.</p>",
  "messages": [
    {
      "id": 2416254,
      "postDate": "2023-08-30T22:52:33.820Z",
      "content": "<p>While running QC checks in response to <a href=\"(https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/432593\" target=\"_blank\">this discussion</a>), I uncovered a single image with some file corruption: <code>test_images/3124/5842/514.dcm</code>. You probably want to skip that file. Every other image passed the (very basic) check of loading the pixel array with <code>PIL.Image</code>. </p>\n<p>I don't expect to be able to update the dataset to fix that issue until next week. Thank you all for your patience and thanks to everyone who contributed to the discussion here for their contributions.</p>",
      "rawMarkdown": "While running QC checks in response to [this discussion]((https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/432593)), I uncovered a single image with some file corruption: `test_images/3124/5842/514.dcm`. You probably want to skip that file. Every other image passed the (very basic) check of loading the pixel array with `PIL.Image`. \n\nI don't expect to be able to update the dataset to fix that issue until next week. Thank you all for your patience and thanks to everyone who contributed to the discussion here for their contributions.",
      "votes": 43
    },
    {
      "id": 2416511,
      "postDate": "2023-08-31T05:25:20.067Z",
      "content": "<p>Thanks so much! I ran a probing notebook which excludes the corrupted image you found and it has no errors. I have updated my original discussion to reflect that.</p>",
      "rawMarkdown": "Thanks so much! I ran a probing notebook which excludes the corrupted image you found and it has no errors. I have updated my original discussion to reflect that.",
      "votes": 5
    },
    {
      "id": 2442160,
      "postDate": "2023-09-16T19:19:23.347Z",
      "content": "<p>Hello, just wanted to follow up - has this issue been fixed or should we still skip this file in the test set?</p>",
      "rawMarkdown": "Hello, just wanted to follow up - has this issue been fixed or should we still skip this file in the test set?",
      "votes": 3,
      "replies": [
        {
          "id": 2443467,
          "postDate": "2023-09-17T18:11:29.387Z",
          "content": "<p>Hello, they still didn't fix, so you need to remove this corrupted file. </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F11631044%2F974e053aa6a5b19bc5cb676ccd6a0241%2Fcorrupted%20submission.jpg?generation=1694974183859668&amp;alt=media\" alt=\"corrupted_submits\"></p>\n<p>In my case. first submit crushed, then I tried using try-except on the whole dicom_to_image function, then I removed try-except and ignored only one corruted file and it gave me the same result</p>",
          "rawMarkdown": "Hello, they still didn't fix, so you need to remove this corrupted file. \n\n![corrupted_submits](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F11631044%2F974e053aa6a5b19bc5cb676ccd6a0241%2Fcorrupted%20submission.jpg?generation=1694974183859668&alt=media)\n\nIn my case. first submit crushed, then I tried using try-except on the whole dicom_to_image function, then I removed try-except and ignored only one corruted file and it gave me the same result",
          "votes": 3
        }
      ]
    },
    {
      "id": 2464453,
      "postDate": "2023-10-02T09:25:28.457Z",
      "content": "<p>Is the corrupt image still there or the problem is fixed?</p>",
      "rawMarkdown": "Is the corrupt image still there or the problem is fixed?",
      "votes": 1
    },
    {
      "id": 2457879,
      "postDate": "2023-09-27T07:53:39.880Z",
      "content": "<p>great work</p>",
      "rawMarkdown": "great work"
    },
    {
      "id": 2455676,
      "postDate": "2023-09-25T16:33:59.647Z",
      "content": "<p>Nice job🫡</p>",
      "rawMarkdown": "Nice job🫡"
    },
    {
      "id": 2455197,
      "postDate": "2023-09-25T11:22:40.857Z",
      "content": "<p>Your job is so great!</p>",
      "rawMarkdown": "Your job is so great!"
    },
    {
      "id": 2416361,
      "postDate": "2023-08-31T01:52:42.830Z",
      "content": "<p>Thanks for checking.</p>",
      "rawMarkdown": "Thanks for checking."
    }
  ],
  "comments": [
    {
      "id": 2416511,
      "author_name": "Chau YH",
      "author_url": "",
      "post_date": "2023-08-31T05:25:20.067000",
      "content": "<p>Thanks so much! I ran a probing notebook which excludes the corrupted image you found and it has no errors. I have updated my original discussion to reflect that.</p>",
      "votes": 5,
      "replies": []
    },
    {
      "id": 2442160,
      "author_name": "JSGandora",
      "author_url": "",
      "post_date": "2023-09-16T19:19:23.347000",
      "content": "<p>Hello, just wanted to follow up - has this issue been fixed or should we still skip this file in the test set?</p>",
      "votes": 3,
      "replies": [
        {
          "id": 2443467,
          "author_name": "Gleb Kazakov",
          "author_url": "",
          "post_date": "2023-09-17T18:11:29.387000",
          "content": "<p>Hello, they still didn't fix, so you need to remove this corrupted file. </p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F11631044%2F974e053aa6a5b19bc5cb676ccd6a0241%2Fcorrupted%20submission.jpg?generation=1694974183859668&amp;alt=media\" alt=\"corrupted_submits\"></p>\n<p>In my case. first submit crushed, then I tried using try-except on the whole dicom_to_image function, then I removed try-except and ignored only one corruted file and it gave me the same result</p>",
          "votes": 3,
          "replies": []
        }
      ]
    },
    {
      "id": 2464453,
      "author_name": "joejeo1",
      "author_url": "",
      "post_date": "2023-10-02T09:25:28.457000",
      "content": "<p>Is the corrupt image still there or the problem is fixed?</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 2457879,
      "author_name": "Yasira Punsith",
      "author_url": "",
      "post_date": "2023-09-27T07:53:39.880000",
      "content": "<p>great work</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2455676,
      "author_name": "Yiyang Wang1999",
      "author_url": "",
      "post_date": "2023-09-25T16:33:59.647000",
      "content": "<p>Nice job🫡</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2455197,
      "author_name": "CandyDundun",
      "author_url": "",
      "post_date": "2023-09-25T11:22:40.857000",
      "content": "<p>Your job is so great!</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 2416361,
      "author_name": "Antonio Félix",
      "author_url": "",
      "post_date": "2023-08-31T01:52:42.830000",
      "content": "<p>Thanks for checking.</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2416254": "While running QC checks in response to [this discussion]((https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/432593)), I uncovered a single image with some file corruption: `test_images/3124/5842/514.dcm`. You probably want to skip that file. Every other image passed the (very basic) check of loading the pixel array with `PIL.Image`. \n\nI don't expect to be able to update the dataset to fix that issue until next week. Thank you all for your patience and thanks to everyone who contributed to the discussion here for their contributions.",
    "2416511": "Thanks so much! I ran a probing notebook which excludes the corrupted image you found and it has no errors. I have updated my original discussion to reflect that.",
    "2442160": "Hello, just wanted to follow up - has this issue been fixed or should we still skip this file in the test set?",
    "2464453": "Is the corrupt image still there or the problem is fixed?",
    "2457879": "great work",
    "2455676": "Nice job🫡",
    "2455197": "Your job is so great!",
    "2416361": "Thanks for checking."
  }
}