{
  "id": 302544,
  "title": "Compare Yolov5, YoloX, YolorR.",
  "url": "/competitions/tensorflow-great-barrier-reef/discussion/302544",
  "author_name": "Wonjun Park",
  "post_date": "2022-01-23T03:00:25.561000",
  "votes": 6,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I didn't increase the performance significantly, and I compared the following models in the same environment.</p>\n<p>As a result of the experiment, yolov5 &gt; yolorR &gt; yoloX was shown.</p>\n<p>What do you think?</p>",
  "messages": [
    {
      "id": 1660854,
      "postDate": "2022-01-23T03:00:25.560Z",
      "content": "<p>I didn't increase the performance significantly, and I compared the following models in the same environment.</p>\n<p>As a result of the experiment, yolov5 &gt; yolorR &gt; yoloX was shown.</p>\n<p>What do you think?</p>",
      "rawMarkdown": "I didn't increase the performance significantly, and I compared the following models in the same environment.\n\nAs a result of the experiment, yolov5 > yolorR > yoloX was shown.\n\nWhat do you think?",
      "votes": 5
    },
    {
      "id": 1666135,
      "postDate": "2022-01-27T13:18:11.720Z",
      "content": "<p>Where it was shown ? If you check vs yolov1 the performance should be different.</p>",
      "rawMarkdown": "Where it was shown ? If you check vs yolov1 the performance should be different."
    },
    {
      "id": 1661098,
      "postDate": "2022-01-23T08:15:02.563Z",
      "content": "<p>without numbers it is hard to comment</p>",
      "rawMarkdown": "without numbers it is hard to comment"
    },
    {
      "id": 1661475,
      "postDate": "2022-01-23T13:39:50.783Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 1666135,
      "author_name": "Angel Genchev",
      "author_url": "",
      "post_date": "2022-01-27T13:18:11.720000",
      "content": "<p>Where it was shown ? If you check vs yolov1 the performance should be different.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1661098,
      "author_name": "nymfree",
      "author_url": "",
      "post_date": "2022-01-23T08:15:02.563000",
      "content": "<p>without numbers it is hard to comment</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1661475,
      "author_name": "",
      "author_url": "",
      "post_date": "2022-01-23T13:39:50.783000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1660854": "I didn't increase the performance significantly, and I compared the following models in the same environment.\n\nAs a result of the experiment, yolov5 > yolorR > yoloX was shown.\n\nWhat do you think?",
    "1666135": "Where it was shown ? If you check vs yolov1 the performance should be different.",
    "1661098": "without numbers it is hard to comment",
    "1661475": ""
  }
}