{
  "id": 227406,
  "title": "TFRecord dataset updated",
  "url": "/competitions/herbarium-2021-fgvc8/discussion/227406",
  "author_name": "Luigi Saetta",
  "post_date": "2021-03-20T11:48:09.004000",
  "votes": 0,
  "comment_count": 1,
  "views": 0,
  "content": "<p>For those of you interested, I have published a new version of my dataset</p>\n<p><a href=\"https://www.kaggle.com/luigisaetta/herb2021-256\" target=\"_blank\">HERB2021-256</a></p>\n<p>that now contains 1 million images from the training dataset.</p>\n<p>I'm currently running a test to see how it improves the accuracy on the competition.</p>\n<p>Nice to hear if someone uses it or what do you think of it.</p>",
  "messages": [
    {
      "id": 1245987,
      "postDate": "2021-03-20T12:18:03.370Z",
      "content": "<p>The first results are really interesting, one fold gives:</p>\n<ul>\n<li>train accuracy: 0.91</li>\n<li>validation accuracy: 0.68</li>\n</ul>\n<p>and it's less than 50% of available training images.</p>\n<p>It takes only time and TPU time.</p>",
      "rawMarkdown": "The first results are really interesting, one fold gives:\n- train accuracy: 0.91\n- validation accuracy: 0.68\n\nand it's less than 50% of available training images.\n\nIt takes only time and TPU time."
    },
    {
      "id": 1245962,
      "postDate": "2021-03-20T11:48:09.003Z",
      "content": "<p>For those of you interested, I have published a new version of my dataset</p>\n<p><a href=\"https://www.kaggle.com/luigisaetta/herb2021-256\" target=\"_blank\">HERB2021-256</a></p>\n<p>that now contains 1 million images from the training dataset.</p>\n<p>I'm currently running a test to see how it improves the accuracy on the competition.</p>\n<p>Nice to hear if someone uses it or what do you think of it.</p>",
      "rawMarkdown": "For those of you interested, I have published a new version of my dataset\n\n[HERB2021-256](https://www.kaggle.com/luigisaetta/herb2021-256)\n\nthat now contains 1 million images from the training dataset.\n\nI'm currently running a test to see how it improves the accuracy on the competition.\n\nNice to hear if someone uses it or what do you think of it."
    }
  ],
  "comments": [
    {
      "id": 1245987,
      "author_name": "Luigi Saetta",
      "author_url": "",
      "post_date": "2021-03-20T12:18:03.370000",
      "content": "<p>The first results are really interesting, one fold gives:</p>\n<ul>\n<li>train accuracy: 0.91</li>\n<li>validation accuracy: 0.68</li>\n</ul>\n<p>and it's less than 50% of available training images.</p>\n<p>It takes only time and TPU time.</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1245987": "The first results are really interesting, one fold gives:\n- train accuracy: 0.91\n- validation accuracy: 0.68\n\nand it's less than 50% of available training images.\n\nIt takes only time and TPU time.",
    "1245962": "For those of you interested, I have published a new version of my dataset\n\n[HERB2021-256](https://www.kaggle.com/luigisaetta/herb2021-256)\n\nthat now contains 1 million images from the training dataset.\n\nI'm currently running a test to see how it improves the accuracy on the competition.\n\nNice to hear if someone uses it or what do you think of it."
  }
}