{
  "id": 401412,
  "title": "Some Stupids Questions about training input data....",
  "url": "/competitions/vesuvius-challenge-ink-detection/discussion/401412",
  "author_name": "",
  "post_date": "2023-04-13T05:25:39.063833Z",
  "votes": -1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I have some questions after viewing some plotting results by using those image with name 'x.tif'<br>\nand i found that there is unable to read or find out any 'chars' <br>\nthere are quite big differences between 'x.tif' and 'ir.png' and 'chars / target labels' can be found on it easily….  </p>\n<p>My questions are:</p>\n<ol>\n<li>the inputs of training data are the '.tif' , is it correct ? or is the 'ir.png' ?</li>\n<li>we have to build out a 2d segmantation model ? </li>\n</ol>",
  "messages": [
    {
      "id": "2220068",
      "postDate": "04/13/2023 05:25:39",
      "content": "<p>I have some questions after viewing some plotting results by using those image with name 'x.tif'<br>\nand i found that there is unable to read or find out any 'chars' <br>\nthere are quite big differences between 'x.tif' and 'ir.png' and 'chars / target labels' can be found on it easily….  </p>\n<p>My questions are:</p>\n<ol>\n<li>the inputs of training data are the '.tif' , is it correct ? or is the 'ir.png' ?</li>\n<li>we have to build out a 2d segmantation model ? </li>\n</ol>",
      "rawMarkdown": "I have some questions after viewing some plotting results by using those image with name 'x.tif'\nand i found that there is unable to read or find out any 'chars' \nthere are quite big differences between 'x.tif' and 'ir.png' and 'chars / target labels' can be found on it easily....  \n\nMy questions are:\n1. the inputs of training data are the '.tif' , is it correct ? or is the 'ir.png' ?\n2. we have to build out a 2d segmantation model ?",
      "votes": null
    },
    {
      "id": "2220081",
      "postDate": "04/13/2023 05:36:46",
      "content": "<p>or we have to first create a result which similar to the 'ir.png' ?</p>",
      "rawMarkdown": "or we have to first create a result which similar to the 'ir.png' ?",
      "votes": null
    },
    {
      "id": "2220550",
      "postDate": "04/13/2023 13:45:08",
      "content": "<p>Hello, mate! <br>\nAll answers to your questions are available in the <a href=\"https://www.kaggle.com/competitions/vesuvius-challenge-ink-detection/data\" target=\"_blank\">Data section</a> of this competition. Please, read it carefully!</p>\n<ol>\n<li>The input images you have to use for training and in your inference are <code>.tif</code> ones. Also <code>mask.png</code> might be useful.</li>\n<li>All those images are 2D slices of 3D scans of fragments, so you are solving the image segmentation task.</li>\n<li>As result you should produce a binary mask with ink segmented from 3D x-ray scan. An example of such a mask you can find in <code>inklabels.png</code> file for training samples, but before submission, you should encode it with RLE, as in <code>inklabels_rle.csv</code>.  <br>\nThe <code>ir.png</code> is given just for reference; maybe you can use it in your training pipeline to retrieve intermediate outputs. </li>\n</ol>",
      "rawMarkdown": "Hello, mate! \nAll answers to your questions are available in the [Data section](https://www.kaggle.com/competitions/vesuvius-challenge-ink-detection/data) of this competition. Please, read it carefully!\n\n1. The input images you have to use for training and in your inference are `.tif` ones. Also `mask.png` might be useful.\n2. All those images are 2D slices of 3D scans of fragments, so you are solving the image segmentation task.\n3. As result you should produce a binary mask with ink segmented from 3D x-ray scan. An example of such a mask you can find in `inklabels.png` file for training samples, but before submission, you should encode it with RLE, as in `inklabels_rle.csv`.  \nThe `ir.png` is given just for reference; maybe you can use it in your training pipeline to retrieve intermediate outputs.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2220081,
      "author_name": "chushengchen",
      "author_url": "",
      "post_date": "04/13/2023 05:36:46",
      "content": "<p>or we have to first create a result which similar to the 'ir.png' ?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2220550,
      "author_name": "r1chardson",
      "author_url": "",
      "post_date": "04/13/2023 13:45:08",
      "content": "<p>Hello, mate! <br>\nAll answers to your questions are available in the <a href=\"https://www.kaggle.com/competitions/vesuvius-challenge-ink-detection/data\" target=\"_blank\">Data section</a> of this competition. Please, read it carefully!</p>\n<ol>\n<li>The input images you have to use for training and in your inference are <code>.tif</code> ones. Also <code>mask.png</code> might be useful.</li>\n<li>All those images are 2D slices of 3D scans of fragments, so you are solving the image segmentation task.</li>\n<li>As result you should produce a binary mask with ink segmented from 3D x-ray scan. An example of such a mask you can find in <code>inklabels.png</code> file for training samples, but before submission, you should encode it with RLE, as in <code>inklabels_rle.csv</code>.  <br>\nThe <code>ir.png</code> is given just for reference; maybe you can use it in your training pipeline to retrieve intermediate outputs. </li>\n</ol>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2220068": "I have some questions after viewing some plotting results by using those image with name 'x.tif'\nand i found that there is unable to read or find out any 'chars' \nthere are quite big differences between 'x.tif' and 'ir.png' and 'chars / target labels' can be found on it easily....  \n\nMy questions are:\n1. the inputs of training data are the '.tif' , is it correct ? or is the 'ir.png' ?\n2. we have to build out a 2d segmantation model ?",
    "2220081": "or we have to first create a result which similar to the 'ir.png' ?",
    "2220550": "Hello, mate! \nAll answers to your questions are available in the [Data section](https://www.kaggle.com/competitions/vesuvius-challenge-ink-detection/data) of this competition. Please, read it carefully!\n\n1. The input images you have to use for training and in your inference are `.tif` ones. Also `mask.png` might be useful.\n2. All those images are 2D slices of 3D scans of fragments, so you are solving the image segmentation task.\n3. As result you should produce a binary mask with ink segmented from 3D x-ray scan. An example of such a mask you can find in `inklabels.png` file for training samples, but before submission, you should encode it with RLE, as in `inklabels_rle.csv`.  \nThe `ir.png` is given just for reference; maybe you can use it in your training pipeline to retrieve intermediate outputs."
  },
  "source": "meta"
}