{
  "id": 21051,
  "title": "Google Earth",
  "url": "/competitions/draper-satellite-image-chronology/discussion/21051",
  "author_name": "",
  "post_date": "2016-05-18T20:09:54.553Z",
  "votes": 21,
  "comment_count": 5,
  "views": 1733,
  "content": "<p>Hey guys, I ended up not having enough time to finish out this competition, but I was able to map ~87% of the points on Google Earth.  Hopefully this might level the playing field for people who didn't have enough time to devote to doing something similar.</p>\n\n<p>Good luck and enjoy!</p>",
  "messages": [
    {
      "id": "120517",
      "postDate": "05/18/2016 20:09:54",
      "content": "<p>Hey guys, I ended up not having enough time to finish out this competition, but I was able to map ~87% of the points on Google Earth.  Hopefully this might level the playing field for people who didn't have enough time to devote to doing something similar.</p>\n\n<p>Good luck and enjoy!</p>",
      "rawMarkdown": "Hey guys, I ended up not having enough time to finish out this competition, but I was able to map ~87% of the points on Google Earth.  Hopefully this might level the playing field for people who didn't have enough time to devote to doing something similar.\r\n\r\nGood luck and enjoy!",
      "votes": null
    },
    {
      "id": "120548",
      "postDate": "05/19/2016 00:17:58",
      "content": "<p>Thank you very much for the valuable information!</p>",
      "rawMarkdown": "Thank you very much for the valuable information!",
      "votes": null
    },
    {
      "id": "121899",
      "postDate": "05/30/2016 19:37:34",
      "content": "<p>Sorted through .KML file and reorganized it into train and test folders, and saved images of first ten places in attached zip file. If anyone would like to share the work saving each and every train location from Google Earth it would be nice, it's very tedious to do this manually.</p>\n\n<p>If you want to do this, please reset compass and tilt before you save the image. Also please make sure that all five images are completely covered in saved image (see those 10 attached examples).</p>",
      "rawMarkdown": "Sorted through .KML file and reorganized it into train and test folders, and saved images of first ten places in attached zip file. If anyone would like to share the work saving each and every train location from Google Earth it would be nice, it's very tedious to do this manually.\r\n\r\nIf you want to do this, please reset compass and tilt before you save the image. Also please make sure that all five images are completely covered in saved image (see those 10 attached examples).",
      "votes": null
    },
    {
      "id": "122546",
      "postDate": "06/05/2016 01:41:30",
      "content": "<p>Ah okay! so basically this could be used to match images from the test an train sets</p>",
      "rawMarkdown": "Ah okay! so basically this could be used to match images from the test an train sets",
      "votes": null
    },
    {
      "id": "122675",
      "postDate": "06/06/2016 12:09:48",
      "content": "<p>Attached positions of all sets from &quot;train&quot; missing from the previous .KMZ file.</p>",
      "rawMarkdown": "Attached positions of all sets from \"train\" missing from the previous .KMZ file.",
      "votes": null
    },
    {
      "id": "123149",
      "postDate": "06/09/2016 23:49:44",
      "content": "<p>The images that you can match in the test sets from the train sets are not on the public LB, I've solved them all (I believe there were ~16 of them).  Additionally, as was mentioned in another post, some of the test sets are not even on either LB.  These solvable test sets are likely cases for the exclusions. </p>",
      "rawMarkdown": "The images that you can match in the test sets from the train sets are not on the public LB, I've solved them all (I believe there were ~16 of them).  Additionally, as was mentioned in another post, some of the test sets are not even on either LB.  These solvable test sets are likely cases for the exclusions.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 120548,
      "author_name": "yourwanghao",
      "author_url": "",
      "post_date": "05/19/2016 00:17:58",
      "content": "<p>Thank you very much for the valuable information!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 121899,
      "author_name": "itodorovic",
      "author_url": "",
      "post_date": "05/30/2016 19:37:34",
      "content": "<p>Sorted through .KML file and reorganized it into train and test folders, and saved images of first ten places in attached zip file. If anyone would like to share the work saving each and every train location from Google Earth it would be nice, it's very tedious to do this manually.</p>\n\n<p>If you want to do this, please reset compass and tilt before you save the image. Also please make sure that all five images are completely covered in saved image (see those 10 attached examples).</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 122546,
      "author_name": "rkotwani",
      "author_url": "",
      "post_date": "06/05/2016 01:41:30",
      "content": "<p>Ah okay! so basically this could be used to match images from the test an train sets</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 122675,
      "author_name": "itodorovic",
      "author_url": "",
      "post_date": "06/06/2016 12:09:48",
      "content": "<p>Attached positions of all sets from &quot;train&quot; missing from the previous .KMZ file.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 123149,
      "author_name": "kes367",
      "author_url": "",
      "post_date": "06/09/2016 23:49:44",
      "content": "<p>The images that you can match in the test sets from the train sets are not on the public LB, I've solved them all (I believe there were ~16 of them).  Additionally, as was mentioned in another post, some of the test sets are not even on either LB.  These solvable test sets are likely cases for the exclusions. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "120517": "Hey guys, I ended up not having enough time to finish out this competition, but I was able to map ~87% of the points on Google Earth.  Hopefully this might level the playing field for people who didn't have enough time to devote to doing something similar.\r\n\r\nGood luck and enjoy!",
    "120548": "Thank you very much for the valuable information!",
    "121899": "Sorted through .KML file and reorganized it into train and test folders, and saved images of first ten places in attached zip file. If anyone would like to share the work saving each and every train location from Google Earth it would be nice, it's very tedious to do this manually.\r\n\r\nIf you want to do this, please reset compass and tilt before you save the image. Also please make sure that all five images are completely covered in saved image (see those 10 attached examples).",
    "122546": "Ah okay! so basically this could be used to match images from the test an train sets",
    "122675": "Attached positions of all sets from \"train\" missing from the previous .KMZ file.",
    "123149": "The images that you can match in the test sets from the train sets are not on the public LB, I've solved them all (I believe there were ~16 of them).  Additionally, as was mentioned in another post, some of the test sets are not even on either LB.  These solvable test sets are likely cases for the exclusions."
  },
  "source": "meta"
}