{
  "id": 111347,
  "title": "A best description of Generating mask from encoded pixel",
  "url": "/competitions/understanding_cloud_organization/discussion/111347",
  "author_name": "Raju Kumar Mishra",
  "post_date": "2019-10-05T01:45:36.371000",
  "votes": 23,
  "comment_count": 9,
  "views": 0,
  "content": "<p>This discussion is copy past from steel defect competition. </p>\n\n<p>This is my first encounter with object detection with encoded pixel. At first look i was not able to understand anything about encoded pixel. After going through following blog on medium it becomes very clear to me. \nHope you will also find it useful</p>\n\n<p><a href=\"https://medium.com/@sumanthmeenan/generating-masks-from-encoded-pixels-semantic-segmentation-18635e834ad0\">https://medium.com/@sumanthmeenan/generating-masks-from-encoded-pixels-semantic-segmentation-18635e834ad0</a></p>\n\n<p>Some more from previous competitions</p>\n\n<p><a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47699\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/47699</a> </p>",
  "messages": [
    {
      "id": 641693,
      "postDate": "2019-10-05T01:45:36.373Z",
      "content": "<p>This discussion is copy past from steel defect competition. </p>\n\n<p>This is my first encounter with object detection with encoded pixel. At first look i was not able to understand anything about encoded pixel. After going through following blog on medium it becomes very clear to me. \nHope you will also find it useful</p>\n\n<p><a href=\"https://medium.com/@sumanthmeenan/generating-masks-from-encoded-pixels-semantic-segmentation-18635e834ad0\">https://medium.com/@sumanthmeenan/generating-masks-from-encoded-pixels-semantic-segmentation-18635e834ad0</a></p>\n\n<p>Some more from previous competitions</p>\n\n<p><a href=\"https://www.kaggle.com/c/data-science-bowl-2018/discussion/47699\">https://www.kaggle.com/c/data-science-bowl-2018/discussion/47699</a> </p>",
      "rawMarkdown": "This discussion is copy past from steel defect competition. \n\nThis is my first encounter with object detection with encoded pixel. At first look i was not able to understand anything about encoded pixel. After going through following blog on medium it becomes very clear to me. \nHope you will also find it useful\n\nhttps://medium.com/@sumanthmeenan/generating-masks-from-encoded-pixels-semantic-segmentation-18635e834ad0\n\nSome more from previous competitions\n\nhttps://www.kaggle.com/c/data-science-bowl-2018/discussion/47699 ",
      "votes": 22
    },
    {
      "id": 643046,
      "postDate": "2019-10-07T02:37:51.230Z",
      "content": "<p>Upvoted...👍 Nice Share!   <a href=\"/dataraj\">@dataraj</a> </p>",
      "rawMarkdown": "Upvoted...👍 Nice Share!   @dataraj \n",
      "votes": 1,
      "replies": [
        {
          "id": 643078,
          "postDate": "2019-10-07T04:15:48.113Z",
          "content": "<p>Thanks <a href=\"/evgenyshtepin\">@evgenyshtepin</a> </p>",
          "rawMarkdown": "Thanks @evgenyshtepin "
        }
      ]
    },
    {
      "id": 642501,
      "postDate": "2019-10-06T07:09:43.397Z",
      "content": "<p>Its Nice sir, Thanks for Sharing</p>",
      "rawMarkdown": "Its Nice sir, Thanks for Sharing",
      "votes": 1,
      "replies": [
        {
          "id": 642520,
          "postDate": "2019-10-06T08:09:27.073Z",
          "content": "<p>Welcome <a href=\"/ganeshnimmala\">@ganeshnimmala</a> </p>",
          "rawMarkdown": "Welcome @ganeshnimmala "
        }
      ]
    },
    {
      "id": 667532,
      "postDate": "2019-11-07T10:46:17.330Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 643510,
      "postDate": "2019-10-07T15:14:44.550Z",
      "content": "<p>Thank you :)</p>",
      "rawMarkdown": "Thank you :)",
      "votes": 1
    },
    {
      "id": 643144,
      "postDate": "2019-10-07T07:12:47.007Z",
      "content": "<p>Was helpful Thanks :)</p>",
      "rawMarkdown": "Was helpful Thanks :)",
      "votes": 2
    },
    {
      "id": 663075,
      "postDate": "2019-11-01T12:21:47.050Z",
      "content": "<p>thank you</p>",
      "rawMarkdown": "thank you"
    },
    {
      "id": 657909,
      "postDate": "2019-10-25T14:03:54.687Z",
      "content": "<p>Thanks!</p>",
      "rawMarkdown": "Thanks!"
    }
  ],
  "comments": [
    {
      "id": 643046,
      "author_name": "Evgeny Shtepin",
      "author_url": "",
      "post_date": "2019-10-07T02:37:51.230000",
      "content": "<p>Upvoted...👍 Nice Share!   <a href=\"/dataraj\">@dataraj</a> </p>",
      "votes": 1,
      "replies": [
        {
          "id": 643078,
          "author_name": "Raju Kumar Mishra",
          "author_url": "",
          "post_date": "2019-10-07T04:15:48.113000",
          "content": "<p>Thanks <a href=\"/evgenyshtepin\">@evgenyshtepin</a> </p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 642501,
      "author_name": "Ganesh",
      "author_url": "",
      "post_date": "2019-10-06T07:09:43.397000",
      "content": "<p>Its Nice sir, Thanks for Sharing</p>",
      "votes": 1,
      "replies": [
        {
          "id": 642520,
          "author_name": "Raju Kumar Mishra",
          "author_url": "",
          "post_date": "2019-10-06T08:09:27.073000",
          "content": "<p>Welcome <a href=\"/ganeshnimmala\">@ganeshnimmala</a> </p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 667532,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-11-07T10:46:17.330000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 643510,
      "author_name": "ikki1111",
      "author_url": "",
      "post_date": "2019-10-07T15:14:44.550000",
      "content": "<p>Thank you :)</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 643144,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-10-07T07:12:47.007000",
      "content": "<p>Was helpful Thanks :)</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 663075,
      "author_name": "pushpendra",
      "author_url": "",
      "post_date": "2019-11-01T12:21:47.050000",
      "content": "<p>thank you</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 657909,
      "author_name": "Gaurav kumar",
      "author_url": "",
      "post_date": "2019-10-25T14:03:54.687000",
      "content": "<p>Thanks!</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "641693": "This discussion is copy past from steel defect competition. \n\nThis is my first encounter with object detection with encoded pixel. At first look i was not able to understand anything about encoded pixel. After going through following blog on medium it becomes very clear to me. \nHope you will also find it useful\n\nhttps://medium.com/@sumanthmeenan/generating-masks-from-encoded-pixels-semantic-segmentation-18635e834ad0\n\nSome more from previous competitions\n\nhttps://www.kaggle.com/c/data-science-bowl-2018/discussion/47699 ",
    "643046": "Upvoted...👍 Nice Share!   @dataraj \n",
    "642501": "Its Nice sir, Thanks for Sharing",
    "667532": "",
    "643510": "Thank you :)",
    "643144": "Was helpful Thanks :)",
    "663075": "thank you",
    "657909": "Thanks!"
  }
}