{
  "id": 166435,
  "title": "guidance required !!!",
  "url": "/competitions/global-wheat-detection/discussion/166435",
  "author_name": "",
  "post_date": "2020-07-12T21:36:07.150559100Z",
  "votes": -2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I am new to this kind of problem statement ...please help me in getting started</p>",
  "messages": [
    {
      "id": "926675",
      "postDate": "07/12/2020 21:36:07",
      "content": "<p>I am new to this kind of problem statement ...please help me in getting started</p>",
      "rawMarkdown": "I am new to this kind of problem statement ...please help me in getting started",
      "votes": null
    },
    {
      "id": "926690",
      "postDate": "07/12/2020 21:58:44",
      "content": "<p>Please look at some of the <a href=\"https://www.kaggle.com/c/global-wheat-detection/notebooks\">public notebooks</a> and read more about the data to get started. If that's too much, maybe you should go back to a simpler ML project such as <a href=\"https://www.kaggle.com/c/digit-recognizer\">digit recognition</a> or <a href=\"https://www.kaggle.com/c/titanic\">titanic dataset</a>.</p>",
      "rawMarkdown": "Please look at some of the [public notebooks](https://www.kaggle.com/c/global-wheat-detection/notebooks) and read more about the data to get started. If that's too much, maybe you should go back to a simpler ML project such as [digit recognition](https://www.kaggle.com/c/digit-recognizer) or [titanic dataset](https://www.kaggle.com/c/titanic).",
      "votes": null
    },
    {
      "id": "931014",
      "postDate": "07/15/2020 22:36:35",
      "content": "<p>In very short way to tell, this particular problem requires you to develop a model that will recognize the wheat heads in the image and form bounding boxes around them. The most common approach is to use some YOLO version model pretrained on some large dataset (using transfer learning).</p>",
      "rawMarkdown": "In very short way to tell, this particular problem requires you to develop a model that will recognize the wheat heads in the image and form bounding boxes around them. The most common approach is to use some YOLO version model pretrained on some large dataset (using transfer learning).",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 926690,
      "author_name": "matthewmasters",
      "author_url": "",
      "post_date": "07/12/2020 21:58:44",
      "content": "<p>Please look at some of the <a href=\"https://www.kaggle.com/c/global-wheat-detection/notebooks\">public notebooks</a> and read more about the data to get started. If that's too much, maybe you should go back to a simpler ML project such as <a href=\"https://www.kaggle.com/c/digit-recognizer\">digit recognition</a> or <a href=\"https://www.kaggle.com/c/titanic\">titanic dataset</a>.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 931014,
      "author_name": "sayakdasgupta",
      "author_url": "",
      "post_date": "07/15/2020 22:36:35",
      "content": "<p>In very short way to tell, this particular problem requires you to develop a model that will recognize the wheat heads in the image and form bounding boxes around them. The most common approach is to use some YOLO version model pretrained on some large dataset (using transfer learning).</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "926675": "I am new to this kind of problem statement ...please help me in getting started",
    "926690": "Please look at some of the [public notebooks](https://www.kaggle.com/c/global-wheat-detection/notebooks) and read more about the data to get started. If that's too much, maybe you should go back to a simpler ML project such as [digit recognition](https://www.kaggle.com/c/digit-recognizer) or [titanic dataset](https://www.kaggle.com/c/titanic).",
    "931014": "In very short way to tell, this particular problem requires you to develop a model that will recognize the wheat heads in the image and form bounding boxes around them. The most common approach is to use some YOLO version model pretrained on some large dataset (using transfer learning)."
  },
  "source": "meta"
}