{
  "id": 45711,
  "title": "Thank You and Congratulations to All!",
  "url": "/competitions/cdiscount-image-classification-challenge/discussion/45711",
  "author_name": "",
  "post_date": "2017-12-15T00:00:09.548131200Z",
  "votes": 11,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Congratulations to all to become Kaggle experts and masters. Congratulations to you Bestfitting for preparing such a surprise for us in the final days! Our team was definitely not ready for you. :)</p>\n\n<p>Thanks to Kaggle and Cdiscount for hosting this competition – dealing with a dataset larger than ImageNet felt awesome! I look forward to hearing about everyone's approach to this problem.</p>\n\n<p>And finally, I would like to thank my teammates Heng and Outrunner for being such awesome teammates.</p>",
  "messages": [
    {
      "id": "257779",
      "postDate": "12/15/2017 00:00:09",
      "content": "<p>Congratulations to all to become Kaggle experts and masters. Congratulations to you Bestfitting for preparing such a surprise for us in the final days! Our team was definitely not ready for you. :)</p>\n\n<p>Thanks to Kaggle and Cdiscount for hosting this competition – dealing with a dataset larger than ImageNet felt awesome! I look forward to hearing about everyone's approach to this problem.</p>\n\n<p>And finally, I would like to thank my teammates Heng and Outrunner for being such awesome teammates.</p>",
      "rawMarkdown": "Congratulations to all to become Kaggle experts and masters. Congratulations to you Bestfitting for preparing such a surprise for us in the final days! Our team was definitely not ready for you. :)\n\n\nThanks to Kaggle and Cdiscount for hosting this competition – dealing with a dataset larger than ImageNet felt awesome! I look forward to hearing about everyone's approach to this problem.\n\n\nAnd finally, I would like to thank my teammates Heng and Outrunner for being such awesome teammates.",
      "votes": null
    },
    {
      "id": "257796",
      "postDate": "12/15/2017 00:30:31",
      "content": "<p>It was very impressive seeing you guys duke it out in the 0.79 range.  Definitely a fun competition.  My computers are exhausted.</p>",
      "rawMarkdown": "It was very impressive seeing you guys duke it out in the 0.79 range.  Definitely a fun competition.  My computers are exhausted.",
      "votes": null
    },
    {
      "id": "257801",
      "postDate": "12/15/2017 00:32:49",
      "content": "<p>Congrats Miha !!, In our final submission we used your keras models and Hengs pytorch models.Thanks for that</p>",
      "rawMarkdown": "Congrats Miha !!, In our final submission we used your keras models and Hengs pytorch models.Thanks for that",
      "votes": null
    },
    {
      "id": "257820",
      "postDate": "12/15/2017 01:04:59",
      "content": "<p>you try to make a classifier (fcnet as in my the other post) on top of the features extracted by my released models. it should get you a public LB in the 0.765 range.</p>",
      "rawMarkdown": "you try to make a classifier (fcnet as in my the other post) on top of the features extracted by my released models. it should get you a public LB in the 0.765 range.",
      "votes": null
    },
    {
      "id": "257884",
      "postDate": "12/15/2017 02:59:09",
      "content": "<p>Congrats to you , heng and outrunner,I worked very hard to catch up with you,I will write a brief  summary in two days. </p>",
      "rawMarkdown": "Congrats to you , heng and outrunner,I worked very hard to catch up with you,I will write a brief  summary in two days.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 257796,
      "author_name": "tivfrvqhs5",
      "author_url": "",
      "post_date": "12/15/2017 00:30:31",
      "content": "<p>It was very impressive seeing you guys duke it out in the 0.79 range.  Definitely a fun competition.  My computers are exhausted.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 257801,
      "author_name": "rteja1113",
      "author_url": "",
      "post_date": "12/15/2017 00:32:49",
      "content": "<p>Congrats Miha !!, In our final submission we used your keras models and Hengs pytorch models.Thanks for that</p>",
      "votes": null,
      "replies": [
        {
          "id": 257820,
          "author_name": "hengck23",
          "author_url": "",
          "post_date": "12/15/2017 01:04:59",
          "content": "<p>you try to make a classifier (fcnet as in my the other post) on top of the features extracted by my released models. it should get you a public LB in the 0.765 range.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 257884,
      "author_name": "bestfitting",
      "author_url": "",
      "post_date": "12/15/2017 02:59:09",
      "content": "<p>Congrats to you , heng and outrunner,I worked very hard to catch up with you,I will write a brief  summary in two days. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "257779": "Congratulations to all to become Kaggle experts and masters. Congratulations to you Bestfitting for preparing such a surprise for us in the final days! Our team was definitely not ready for you. :)\n\n\nThanks to Kaggle and Cdiscount for hosting this competition – dealing with a dataset larger than ImageNet felt awesome! I look forward to hearing about everyone's approach to this problem.\n\n\nAnd finally, I would like to thank my teammates Heng and Outrunner for being such awesome teammates.",
    "257796": "It was very impressive seeing you guys duke it out in the 0.79 range.  Definitely a fun competition.  My computers are exhausted.",
    "257801": "Congrats Miha !!, In our final submission we used your keras models and Hengs pytorch models.Thanks for that",
    "257820": "you try to make a classifier (fcnet as in my the other post) on top of the features extracted by my released models. it should get you a public LB in the 0.765 range.",
    "257884": "Congrats to you , heng and outrunner,I worked very hard to catch up with you,I will write a brief  summary in two days."
  },
  "source": "meta"
}