{
  "id": 333449,
  "title": "Submission of results on leaderboard ",
  "url": "/competitions/hubmap-organ-segmentation/discussion/333449",
  "author_name": "",
  "post_date": "2022-06-26T15:24:37.120451600Z",
  "votes": 4,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Dear all,  <br>\nCan anyone explain how to submit score on leaderboard ? <br>\nI only see one image in the test images folder. </p>",
  "messages": [
    {
      "id": "1834054",
      "postDate": "06/26/2022 15:24:37",
      "content": "<p>Dear all,  <br>\nCan anyone explain how to submit score on leaderboard ? <br>\nI only see one image in the test images folder. </p>",
      "rawMarkdown": "Dear all,  \nCan anyone explain how to submit score on leaderboard ? \nI only see one image in the test images folder.",
      "votes": null
    },
    {
      "id": "1834378",
      "postDate": "06/26/2022 21:41:00",
      "content": "<p>This is a code competition. When you <strong>submit</strong> your notebook, then your running code will see a <code>test_images</code> folder which has 550 test images. Kaggle does it this way so that we as humans cannot see the images, but your code will \"see\" the images. Likewise, your submitted code will see a different file <code>test.csv</code> than the one we see now. It will contain a list of all 550 test images. So your code must read each of the 550 test images and predict an RLE mask for each and save it as <code>submission.csv</code>. As humans we will never see this resultant <code>submission.csv</code> file with 550 rows, but the Kaggle LB will see it and give you your score.</p>",
      "rawMarkdown": "This is a code competition. When you **submit** your notebook, then your running code will see a `test_images` folder which has 550 test images. Kaggle does it this way so that we as humans cannot see the images, but your code will \"see\" the images. Likewise, your submitted code will see a different file `test.csv` than the one we see now. It will contain a list of all 550 test images. So your code must read each of the 550 test images and predict an RLE mask for each and save it as `submission.csv`. As humans we will never see this resultant `submission.csv` file with 550 rows, but the Kaggle LB will see it and give you your score.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1834378,
      "author_name": "cdeotte",
      "author_url": "",
      "post_date": "06/26/2022 21:41:00",
      "content": "<p>This is a code competition. When you <strong>submit</strong> your notebook, then your running code will see a <code>test_images</code> folder which has 550 test images. Kaggle does it this way so that we as humans cannot see the images, but your code will \"see\" the images. Likewise, your submitted code will see a different file <code>test.csv</code> than the one we see now. It will contain a list of all 550 test images. So your code must read each of the 550 test images and predict an RLE mask for each and save it as <code>submission.csv</code>. As humans we will never see this resultant <code>submission.csv</code> file with 550 rows, but the Kaggle LB will see it and give you your score.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1834054": "Dear all,  \nCan anyone explain how to submit score on leaderboard ? \nI only see one image in the test images folder.",
    "1834378": "This is a code competition. When you **submit** your notebook, then your running code will see a `test_images` folder which has 550 test images. Kaggle does it this way so that we as humans cannot see the images, but your code will \"see\" the images. Likewise, your submitted code will see a different file `test.csv` than the one we see now. It will contain a list of all 550 test images. So your code must read each of the 550 test images and predict an RLE mask for each and save it as `submission.csv`. As humans we will never see this resultant `submission.csv` file with 550 rows, but the Kaggle LB will see it and give you your score."
  },
  "source": "meta"
}