{
  "id": 415573,
  "title": "Request the top scorers to share their strategy of approaching this problem.",
  "url": "/competitions/extracting-attributes-from-fashion-images-2/discussion/415573",
  "author_name": "",
  "post_date": "2023-06-07T04:12:35.138985400Z",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi all, <br>\nI request the top people who were able to cross or who were very near to the benchmark submission to share their strategy of solving this problem(like what architecture, any image augmentation, or any other thing that you guys have used). This will definitely help me and others like me to learn more and get an idea of how to correctly approach this problem. It will be a good learning for others who are starting their journey in the field of computer vision. <br>\nThanks and hope to get a reply soon. </p>",
  "messages": [
    {
      "id": "2290720",
      "postDate": "06/07/2023 04:12:35",
      "content": "<p>Hi all, <br>\nI request the top people who were able to cross or who were very near to the benchmark submission to share their strategy of solving this problem(like what architecture, any image augmentation, or any other thing that you guys have used). This will definitely help me and others like me to learn more and get an idea of how to correctly approach this problem. It will be a good learning for others who are starting their journey in the field of computer vision. <br>\nThanks and hope to get a reply soon. </p>",
      "rawMarkdown": "Hi all, \nI request the top people who were able to cross or who were very near to the benchmark submission to share their strategy of solving this problem(like what architecture, any image augmentation, or any other thing that you guys have used). This will definitely help me and others like me to learn more and get an idea of how to correctly approach this problem. It will be a good learning for others who are starting their journey in the field of computer vision. \nThanks and hope to get a reply soon.",
      "votes": null
    },
    {
      "id": "2290726",
      "postDate": "06/07/2023 04:18:05",
      "content": "<p>You can check my solution in the code section. Train notebook contains a small summary too.</p>",
      "rawMarkdown": "You can check my solution in the code section. Train notebook contains a small summary too.",
      "votes": null
    },
    {
      "id": "2290735",
      "postDate": "06/07/2023 04:25:17",
      "content": "<p>Yup, I saw that after posting this. Thanks buddy, I appreciate it!</p>",
      "rawMarkdown": "Yup, I saw that after posting this. Thanks buddy, I appreciate it!",
      "votes": null
    },
    {
      "id": "2290785",
      "postDate": "06/07/2023 05:13:08",
      "content": "<p>Congratulations Himanshu Nayal and thanks for sharing your approach.</p>",
      "rawMarkdown": "Congratulations Himanshu Nayal and thanks for sharing your approach.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2290726,
      "author_name": "himanshunayal",
      "author_url": "",
      "post_date": "06/07/2023 04:18:05",
      "content": "<p>You can check my solution in the code section. Train notebook contains a small summary too.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2290735,
          "author_name": "soumyajyoti01",
          "author_url": "",
          "post_date": "06/07/2023 04:25:17",
          "content": "<p>Yup, I saw that after posting this. Thanks buddy, I appreciate it!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2290785,
      "author_name": "antony12345",
      "author_url": "",
      "post_date": "06/07/2023 05:13:08",
      "content": "<p>Congratulations Himanshu Nayal and thanks for sharing your approach.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2290720": "Hi all, \nI request the top people who were able to cross or who were very near to the benchmark submission to share their strategy of solving this problem(like what architecture, any image augmentation, or any other thing that you guys have used). This will definitely help me and others like me to learn more and get an idea of how to correctly approach this problem. It will be a good learning for others who are starting their journey in the field of computer vision. \nThanks and hope to get a reply soon.",
    "2290726": "You can check my solution in the code section. Train notebook contains a small summary too.",
    "2290735": "Yup, I saw that after posting this. Thanks buddy, I appreciate it!",
    "2290785": "Congratulations Himanshu Nayal and thanks for sharing your approach."
  },
  "source": "meta"
}