{
  "id": 47693,
  "title": "Am I missing something ?",
  "url": "/competitions/data-science-bowl-2018/discussion/47693",
  "author_name": "",
  "post_date": "2018-01-17T18:56:46.236878900Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Please don't get me wrong... \nIm trying to understand the task, but... do we really need to create such sophisticated models to get those boundaries ? \ncomputer vision processing is not enough ? </p>",
  "messages": [
    {
      "id": "270106",
      "postDate": "01/17/2018 18:56:46",
      "content": "<p>Please don't get me wrong... \nIm trying to understand the task, but... do we really need to create such sophisticated models to get those boundaries ? \ncomputer vision processing is not enough ? </p>",
      "rawMarkdown": "Please don't get me wrong... \nIm trying to understand the task, but... do we really need to create such sophisticated models to get those boundaries ? \ncomputer vision processing is not enough ?",
      "votes": null
    },
    {
      "id": "270122",
      "postDate": "01/17/2018 19:16:44",
      "content": "<p>Check <a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47615\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/47615</a> and the organizer's video in the reply.\nThe point is to build a solution that can works on wide variety of microscope &amp; cells, etc without any manual tuning. </p>\n\n<p>Links at <a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47665\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/47665</a> might show what the scientists are doing now. You'll be motivated to help them :)</p>",
      "rawMarkdown": "Check https://www.kaggle.com/c/data-science-bowl-2018/discussion/47615 and the organizer's video in the reply.\nThe point is to build a solution that can works on wide variety of microscope &amp; cells, etc without any manual tuning. \n\nLinks at https://www.kaggle.com/c/data-science-bowl-2018/discussion/47665 might show what the scientists are doing now. You'll be motivated to help them :)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 270122,
      "author_name": "jandjenter",
      "author_url": "",
      "post_date": "01/17/2018 19:16:44",
      "content": "<p>Check <a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47615\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/47615</a> and the organizer's video in the reply.\nThe point is to build a solution that can works on wide variety of microscope &amp; cells, etc without any manual tuning. </p>\n\n<p>Links at <a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47665\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/47665</a> might show what the scientists are doing now. You'll be motivated to help them :)</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "270106": "Please don't get me wrong... \nIm trying to understand the task, but... do we really need to create such sophisticated models to get those boundaries ? \ncomputer vision processing is not enough ?",
    "270122": "Check https://www.kaggle.com/c/data-science-bowl-2018/discussion/47615 and the organizer's video in the reply.\nThe point is to build a solution that can works on wide variety of microscope &amp; cells, etc without any manual tuning. \n\nLinks at https://www.kaggle.com/c/data-science-bowl-2018/discussion/47665 might show what the scientists are doing now. You'll be motivated to help them :)"
  },
  "source": "meta"
}