{
  "id": 149842,
  "title": "just some easy use augumented dataset",
  "url": "/competitions/global-wheat-detection/discussion/149842",
  "author_name": "",
  "post_date": "2020-05-10T06:25:29.986428900Z",
  "votes": 4,
  "comment_count": 8,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/masteryux/wheatdata/\">data</a>👈 \n<a href=\"https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation\">Global Wheat Detection Augmenté [Generation]</a></p>\n\n<p>As i have 16 cores locally, hence i simply generated 16 times data parallel (43 mins). \nYou are welcome to use it to generate more as you need with mere modifications.</p>",
  "messages": [
    {
      "id": "840561",
      "postDate": "05/10/2020 06:25:29",
      "content": "<p><a href=\"https://www.kaggle.com/masteryux/wheatdata/\">data</a>👈 \n<a href=\"https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation\">Global Wheat Detection Augmenté [Generation]</a></p>\n\n<p>As i have 16 cores locally, hence i simply generated 16 times data parallel (43 mins). \nYou are welcome to use it to generate more as you need with mere modifications.</p>",
      "rawMarkdown": "[data](https://www.kaggle.com/masteryux/wheatdata/)👈 \n[Global Wheat Detection Augmenté [Generation]](https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation)\n\nAs i have 16 cores locally, hence i simply generated 16 times data parallel (43 mins). \nYou are welcome to use it to generate more as you need with mere modifications.",
      "votes": null
    },
    {
      "id": "840620",
      "postDate": "05/10/2020 08:04:19",
      "content": "<p>thanks :)</p>",
      "rawMarkdown": "thanks :)",
      "votes": null
    },
    {
      "id": "840877",
      "postDate": "05/10/2020 13:05:46",
      "content": "<p>Thanks ... I don't see what are the augmentation config you used ... I was wondering if you could shed some light on that? maybe share the code you used to generated it in a kernel 😊 </p>",
      "rawMarkdown": "Thanks ... I don't see what are the augmentation config you used ... I was wondering if you could shed some light on that? maybe share the code you used to generated it in a kernel 😊",
      "votes": null
    },
    {
      "id": "840987",
      "postDate": "05/10/2020 14:30:00",
      "content": "<p>sure thing!\nnow you could see it in this kernel 👉 <a href=\"https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation\">https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation</a></p>",
      "rawMarkdown": "sure thing!\nnow you could see it in this kernel 👉 [https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation](https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation)",
      "votes": null
    },
    {
      "id": "840996",
      "postDate": "05/10/2020 14:34:17",
      "content": "<p>It would be better, if you could also share the code behind the generation of the data.</p>",
      "rawMarkdown": "It would be better, if you could also share the code behind the generation of the data.",
      "votes": null
    },
    {
      "id": "841006",
      "postDate": "05/10/2020 14:38:32",
      "content": "<p>Sure, as i've just mentioned above, the kernel is here 👉  <a href=\"https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation\">https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation</a></p>",
      "rawMarkdown": "Sure, as i've just mentioned above, the kernel is here 👉  [https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation](https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation)",
      "votes": null
    },
    {
      "id": "841007",
      "postDate": "05/10/2020 14:39:22",
      "content": "<p>My bad. Didn't notice. Thanks👍 </p>",
      "rawMarkdown": "My bad. Didn't notice. Thanks👍",
      "votes": null
    },
    {
      "id": "844830",
      "postDate": "05/12/2020 22:02:51",
      "content": "<p>Thankyou <a href=\"/masteryux\">@masteryux</a>  for it.</p>",
      "rawMarkdown": "Thankyou @masteryux  for it.",
      "votes": null
    },
    {
      "id": "924911",
      "postDate": "07/11/2020 17:37:30",
      "content": "<p>Thank you for this</p>",
      "rawMarkdown": "Thank you for this",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 840620,
      "author_name": "albeffe",
      "author_url": "",
      "post_date": "05/10/2020 08:04:19",
      "content": "<p>thanks :)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 840877,
      "author_name": "ma7moud",
      "author_url": "",
      "post_date": "05/10/2020 13:05:46",
      "content": "<p>Thanks ... I don't see what are the augmentation config you used ... I was wondering if you could shed some light on that? maybe share the code you used to generated it in a kernel 😊 </p>",
      "votes": null,
      "replies": [
        {
          "id": 840987,
          "author_name": "masteryux",
          "author_url": "",
          "post_date": "05/10/2020 14:30:00",
          "content": "<p>sure thing!\nnow you could see it in this kernel 👉 <a href=\"https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation\">https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation</a></p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 840996,
      "author_name": "atikahamed",
      "author_url": "",
      "post_date": "05/10/2020 14:34:17",
      "content": "<p>It would be better, if you could also share the code behind the generation of the data.</p>",
      "votes": null,
      "replies": [
        {
          "id": 841006,
          "author_name": "masteryux",
          "author_url": "",
          "post_date": "05/10/2020 14:38:32",
          "content": "<p>Sure, as i've just mentioned above, the kernel is here 👉  <a href=\"https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation\">https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation</a></p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 841007,
          "author_name": "atikahamed",
          "author_url": "",
          "post_date": "05/10/2020 14:39:22",
          "content": "<p>My bad. Didn't notice. Thanks👍 </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 844830,
      "author_name": "dhruvagg",
      "author_url": "",
      "post_date": "05/12/2020 22:02:51",
      "content": "<p>Thankyou <a href=\"/masteryux\">@masteryux</a>  for it.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 924911,
      "author_name": "sheaugust",
      "author_url": "",
      "post_date": "07/11/2020 17:37:30",
      "content": "<p>Thank you for this</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "840561": "[data](https://www.kaggle.com/masteryux/wheatdata/)👈 \n[Global Wheat Detection Augmenté [Generation]](https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation)\n\nAs i have 16 cores locally, hence i simply generated 16 times data parallel (43 mins). \nYou are welcome to use it to generate more as you need with mere modifications.",
    "840620": "thanks :)",
    "840877": "Thanks ... I don't see what are the augmentation config you used ... I was wondering if you could shed some light on that? maybe share the code you used to generated it in a kernel 😊",
    "840987": "sure thing!\nnow you could see it in this kernel 👉 [https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation](https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation)",
    "840996": "It would be better, if you could also share the code behind the generation of the data.",
    "841006": "Sure, as i've just mentioned above, the kernel is here 👉  [https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation](https://www.kaggle.com/masteryux/global-wheat-detection-augment-generation)",
    "841007": "My bad. Didn't notice. Thanks👍",
    "844830": "Thankyou @masteryux  for it.",
    "924911": "Thank you for this"
  },
  "source": "meta"
}