{
  "id": 34051,
  "title": "Images that can be excluded while training your network",
  "url": "/competitions/intel-mobileodt-cervical-cancer-screening/discussion/34051",
  "author_name": "",
  "post_date": "2017-06-02T18:31:48.182293800Z",
  "votes": 11,
  "comment_count": 6,
  "views": 0,
  "content": "<p>Following are some of the images details from each of the types that can be excluded while you are training your CNN</p>\n\n<p>Type 1: 746, 2030, 3415, 4065, 4702, 4706, 5893\nType 2: 2845, 3086, 4221, 4222, 4366, 4367, 5892\nType 3: 4533, 6342</p>\n\n<p>These are some of the files that may not provide you with any information or may mislead the network.\nYou can post if you can find some more.\nThanks Cheers</p>",
  "messages": [
    {
      "id": "188369",
      "postDate": "06/02/2017 18:31:48",
      "content": "<p>Following are some of the images details from each of the types that can be excluded while you are training your CNN</p>\n\n<p>Type 1: 746, 2030, 3415, 4065, 4702, 4706, 5893\nType 2: 2845, 3086, 4221, 4222, 4366, 4367, 5892\nType 3: 4533, 6342</p>\n\n<p>These are some of the files that may not provide you with any information or may mislead the network.\nYou can post if you can find some more.\nThanks Cheers</p>",
      "rawMarkdown": "Following are some of the images details from each of the types that can be excluded while you are training your CNN\n\nType 1: 746, 2030, 3415, 4065, 4702, 4706, 5893\nType 2: 2845, 3086, 4221, 4222, 4366, 4367, 5892\nType 3: 4533, 6342\n\nThese are some of the files that may not provide you with any information or may mislead the network.\nYou can post if you can find some more.\nThanks Cheers",
      "votes": null
    },
    {
      "id": "188388",
      "postDate": "06/02/2017 19:16:27",
      "content": "<p>Thanks for sharing Chandan. I am curious, what are you doing to come to that conclusion?</p>",
      "rawMarkdown": "Thanks for sharing Chandan. I am curious, what are you doing to come to that conclusion?",
      "votes": null
    },
    {
      "id": "188398",
      "postDate": "06/02/2017 19:38:08",
      "content": "<p>Hi gkericks,\nIf you have a look at these images, they are not images of cervix, instead it also includes an image of a women and not the cervix.</p>",
      "rawMarkdown": "Hi gkericks,\nIf you have a look at these images, they are not images of cervix, instead it also includes an image of a women and not the cervix.",
      "votes": null
    },
    {
      "id": "189848",
      "postDate": "06/06/2017 23:45:36",
      "content": "<p>Hi, do we have the right to remove non cervix images manually from training ? \nThanks</p>",
      "rawMarkdown": "Hi, do we have the right to remove non cervix images manually from training ? \nThanks",
      "votes": null
    },
    {
      "id": "191384",
      "postDate": "06/10/2017 05:46:54",
      "content": "<p>Yeah they can be removed manually</p>",
      "rawMarkdown": "Yeah they can be removed manually",
      "votes": null
    },
    {
      "id": "191770",
      "postDate": "06/11/2017 18:31:29",
      "content": "<p>Hi Chandan,\nThank you for putting this list together, it really helps. Are any of these images found in the main training set or are they all from the additional image sets? </p>",
      "rawMarkdown": "Hi Chandan,\nThank you for putting this list together, it really helps. Are any of these images found in the main training set or are they all from the additional image sets?",
      "votes": null
    },
    {
      "id": "191772",
      "postDate": "06/11/2017 18:36:56",
      "content": "<p>These are from the additional data set. But there are also certain images that exists in the training set that can be excluded.</p>",
      "rawMarkdown": "These are from the additional data set. But there are also certain images that exists in the training set that can be excluded.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 188388,
      "author_name": "gkericks",
      "author_url": "",
      "post_date": "06/02/2017 19:16:27",
      "content": "<p>Thanks for sharing Chandan. I am curious, what are you doing to come to that conclusion?</p>",
      "votes": null,
      "replies": [
        {
          "id": 188398,
          "author_name": "chandanverma",
          "author_url": "",
          "post_date": "06/02/2017 19:38:08",
          "content": "<p>Hi gkericks,\nIf you have a look at these images, they are not images of cervix, instead it also includes an image of a women and not the cervix.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 189848,
      "author_name": "atmarouane",
      "author_url": "",
      "post_date": "06/06/2017 23:45:36",
      "content": "<p>Hi, do we have the right to remove non cervix images manually from training ? \nThanks</p>",
      "votes": null,
      "replies": [
        {
          "id": 191384,
          "author_name": "chandanverma",
          "author_url": "",
          "post_date": "06/10/2017 05:46:54",
          "content": "<p>Yeah they can be removed manually</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 191770,
      "author_name": "timothyrimnac",
      "author_url": "",
      "post_date": "06/11/2017 18:31:29",
      "content": "<p>Hi Chandan,\nThank you for putting this list together, it really helps. Are any of these images found in the main training set or are they all from the additional image sets? </p>",
      "votes": null,
      "replies": [
        {
          "id": 191772,
          "author_name": "chandanverma",
          "author_url": "",
          "post_date": "06/11/2017 18:36:56",
          "content": "<p>These are from the additional data set. But there are also certain images that exists in the training set that can be excluded.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "188369": "Following are some of the images details from each of the types that can be excluded while you are training your CNN\n\nType 1: 746, 2030, 3415, 4065, 4702, 4706, 5893\nType 2: 2845, 3086, 4221, 4222, 4366, 4367, 5892\nType 3: 4533, 6342\n\nThese are some of the files that may not provide you with any information or may mislead the network.\nYou can post if you can find some more.\nThanks Cheers",
    "188388": "Thanks for sharing Chandan. I am curious, what are you doing to come to that conclusion?",
    "188398": "Hi gkericks,\nIf you have a look at these images, they are not images of cervix, instead it also includes an image of a women and not the cervix.",
    "189848": "Hi, do we have the right to remove non cervix images manually from training ? \nThanks",
    "191384": "Yeah they can be removed manually",
    "191770": "Hi Chandan,\nThank you for putting this list together, it really helps. Are any of these images found in the main training set or are they all from the additional image sets?",
    "191772": "These are from the additional data set. But there are also certain images that exists in the training set that can be excluded."
  },
  "source": "meta"
}