{
  "id": 202033,
  "title": "About the train/val spilt",
  "url": "/competitions/hubmap-kidney-segmentation/discussion/202033",
  "author_name": "JOJO",
  "post_date": "2020-12-08T02:02:39.709000",
  "votes": 2,
  "comment_count": 9,
  "views": 0,
  "content": "<p>Hello, everyone, i observe that there are many baselines treat one of the image as val dataset,  doesn't that make validation unitary？ i try to crop all of the images and split them into train/ val dataset  manually, but it seems doesn't get satisfactory result, can anyone offer some suggestions?</p>",
  "messages": [
    {
      "id": 1105555,
      "postDate": "2020-12-08T02:02:39.710Z",
      "content": "<p>Hello, everyone, i observe that there are many baselines treat one of the image as val dataset,  doesn't that make validation unitary？ i try to crop all of the images and split them into train/ val dataset  manually, but it seems doesn't get satisfactory result, can anyone offer some suggestions?</p>",
      "rawMarkdown": "Hello, everyone, i observe that there are many baselines treat one of the image as val dataset,  doesn't that make validation unitary？ i try to crop all of the images and split them into train/ val dataset  manually, but it seems doesn't get satisfactory result, can anyone offer some suggestions?",
      "votes": 2
    },
    {
      "id": 1105576,
      "postDate": "2020-12-08T02:51:47.410Z",
      "content": "<p>I tried to use two images as the validation set, and the other as the training set. Compared with split after cropping, the cv of the former is more unstable</p>",
      "rawMarkdown": "I tried to use two images as the validation set, and the other as the training set. Compared with split after cropping, the cv of the former is more unstable",
      "replies": [
        {
          "id": 1105578,
          "postDate": "2020-12-08T02:53:18.947Z",
          "content": "<p>use one fresh frozen and one Formalin Fixed Paraffin Embedded (FFPE)</p>",
          "rawMarkdown": "use one fresh frozen and one Formalin Fixed Paraffin Embedded (FFPE)"
        },
        {
          "id": 1105596,
          "postDate": "2020-12-08T03:06:29.417Z",
          "content": "<p>Hi Heng, Thanks for your sharing, I don't know what is \"Formalin Fixed Paraffin Embedded \", would you mind share more about it</p>",
          "rawMarkdown": "Hi Heng, Thanks for your sharing, I don't know what is \"Formalin Fixed Paraffin Embedded \", would you mind share more about it"
        },
        {
          "id": 1105628,
          "postDate": "2020-12-08T03:53:04.960Z",
          "content": "<p>Thanks for your replay, so you use split after cropping at present?  I have tried this split strategy, but the gap between CV and LB is about 8-9 points,  i am confused about it.</p>",
          "rawMarkdown": "Thanks for your replay, so you use split after cropping at present?  I have tried this split strategy, but the gap between CV and LB is about 8-9 points,  i am confused about it.",
          "votes": 1
        },
        {
          "id": 1105643,
          "postDate": "2020-12-08T03:58:04.347Z",
          "content": "<p>Thanks for your replay, could you please share code or more explanation about \"Formalin Fixed Paraffin Embedded \",  i cannot find introduction about it on the internet?</p>",
          "rawMarkdown": "Thanks for your replay, could you please share code or more explanation about \"Formalin Fixed Paraffin Embedded \",  i cannot find introduction about it on the internet?",
          "votes": 1
        },
        {
          "id": 1105759,
          "postDate": "2020-12-08T07:14:55.907Z",
          "content": "<p><a href=\"https://www.kaggle.com/yolo1996\" target=\"_blank\">@yolo1996</a> I split training and validation by images, 0.75 for train, 0.25 for val</p>",
          "rawMarkdown": "@yolo1996 I split training and validation by images, 0.75 for train, 0.25 for val"
        },
        {
          "id": 1105783,
          "postDate": "2020-12-08T07:33:48.563Z",
          "content": "<p>thanks～，i will try again to split the train and val dataset</p>",
          "rawMarkdown": "thanks～，i will try again to split the train and val dataset"
        },
        {
          "id": 1105854,
          "postDate": "2020-12-08T09:01:21.140Z",
          "content": "<p>if you inspect the images closely, you can find two type of textures:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2F6352999de5fba23ea0c091e2d08cb491%2FSelection_153.png?generation=1607418064732757&amp;alt=media\" alt=\"\"></p>",
          "rawMarkdown": "if you inspect the images closely, you can find two type of textures:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2F6352999de5fba23ea0c091e2d08cb491%2FSelection_153.png?generation=1607418064732757&alt=media)",
          "votes": 2
        },
        {
          "id": 1106731,
          "postDate": "2020-12-09T04:29:43.780Z",
          "rawMarkdown": "",
          "isDeleted": true
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 1105576,
      "author_name": "He",
      "author_url": "",
      "post_date": "2020-12-08T02:51:47.410000",
      "content": "<p>I tried to use two images as the validation set, and the other as the training set. Compared with split after cropping, the cv of the former is more unstable</p>",
      "votes": 0,
      "replies": [
        {
          "id": 1105578,
          "author_name": "hengck23",
          "author_url": "",
          "post_date": "2020-12-08T02:53:18.947000",
          "content": "<p>use one fresh frozen and one Formalin Fixed Paraffin Embedded (FFPE)</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 1105596,
          "author_name": "He",
          "author_url": "",
          "post_date": "2020-12-08T03:06:29.417000",
          "content": "<p>Hi Heng, Thanks for your sharing, I don't know what is \"Formalin Fixed Paraffin Embedded \", would you mind share more about it</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 1105628,
          "author_name": "JOJO",
          "author_url": "",
          "post_date": "2020-12-08T03:53:04.960000",
          "content": "<p>Thanks for your replay, so you use split after cropping at present?  I have tried this split strategy, but the gap between CV and LB is about 8-9 points,  i am confused about it.</p>",
          "votes": 1,
          "replies": []
        },
        {
          "id": 1105643,
          "author_name": "JOJO",
          "author_url": "",
          "post_date": "2020-12-08T03:58:04.347000",
          "content": "<p>Thanks for your replay, could you please share code or more explanation about \"Formalin Fixed Paraffin Embedded \",  i cannot find introduction about it on the internet?</p>",
          "votes": 1,
          "replies": []
        },
        {
          "id": 1105759,
          "author_name": "He",
          "author_url": "",
          "post_date": "2020-12-08T07:14:55.907000",
          "content": "<p><a href=\"https://www.kaggle.com/yolo1996\" target=\"_blank\">@yolo1996</a> I split training and validation by images, 0.75 for train, 0.25 for val</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 1105783,
          "author_name": "JOJO",
          "author_url": "",
          "post_date": "2020-12-08T07:33:48.563000",
          "content": "<p>thanks～，i will try again to split the train and val dataset</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 1105854,
          "author_name": "hengck23",
          "author_url": "",
          "post_date": "2020-12-08T09:01:21.140000",
          "content": "<p>if you inspect the images closely, you can find two type of textures:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F113660%2F6352999de5fba23ea0c091e2d08cb491%2FSelection_153.png?generation=1607418064732757&amp;alt=media\" alt=\"\"></p>",
          "votes": 2,
          "replies": []
        },
        {
          "id": 1106731,
          "author_name": "",
          "author_url": "",
          "post_date": "2020-12-09T04:29:43.780000",
          "content": "",
          "votes": 0,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1105555": "Hello, everyone, i observe that there are many baselines treat one of the image as val dataset,  doesn't that make validation unitary？ i try to crop all of the images and split them into train/ val dataset  manually, but it seems doesn't get satisfactory result, can anyone offer some suggestions?",
    "1105576": "I tried to use two images as the validation set, and the other as the training set. Compared with split after cropping, the cv of the former is more unstable"
  }
}