{
  "id": 321002,
  "title": "Equalized and resized dataset with CLAHE",
  "url": "/competitions/sorghum-id-fgvc-9/discussion/321002",
  "author_name": "Joonas",
  "post_date": "2022-04-24T16:39:06.575000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>as you know, the size of images from original dataset in competition is 1024 x 1024.</p>\n<p>In my kernel, I have been tried to preprocess for applying Contrast Limited Adaptive Histogram Equalization(CLAHE), BUT it takes <strong>toooo long.</strong></p>\n<p><img src=\"https://i.imgur.com/hIQUjBf.png\" alt=\"Histogram\"></p>\n<p>So, I created two datasets with images applied CLAHE, and you can see this in:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/datasets/joonasyoon/sorghum-fgvc9-clahe-256\" target=\"_blank\">Sorghum FGVC 9 (equalized image 256x256)</a></li>\n<li><a href=\"https://www.kaggle.com/datasets/joonasyoon/sorghum-fgvc9-clahe-512\" target=\"_blank\">Sorghum FGVC 9 (equalized image 512x512)</a></li>\n</ul>\n<p>if you’re interested, check it out. there is sample plot for before vs. after, and histogram to diff.</p>\n<p>I hope you'll use it useful,<br>\nHappy Kaggling y'all 👍</p>",
  "messages": [
    {
      "id": 1766592,
      "postDate": "2022-04-24T16:39:06.577Z",
      "content": "<p>as you know, the size of images from original dataset in competition is 1024 x 1024.</p>\n<p>In my kernel, I have been tried to preprocess for applying Contrast Limited Adaptive Histogram Equalization(CLAHE), BUT it takes <strong>toooo long.</strong></p>\n<p><img src=\"https://i.imgur.com/hIQUjBf.png\" alt=\"Histogram\"></p>\n<p>So, I created two datasets with images applied CLAHE, and you can see this in:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/datasets/joonasyoon/sorghum-fgvc9-clahe-256\" target=\"_blank\">Sorghum FGVC 9 (equalized image 256x256)</a></li>\n<li><a href=\"https://www.kaggle.com/datasets/joonasyoon/sorghum-fgvc9-clahe-512\" target=\"_blank\">Sorghum FGVC 9 (equalized image 512x512)</a></li>\n</ul>\n<p>if you’re interested, check it out. there is sample plot for before vs. after, and histogram to diff.</p>\n<p>I hope you'll use it useful,<br>\nHappy Kaggling y'all 👍</p>",
      "rawMarkdown": "as you know, the size of images from original dataset in competition is 1024 x 1024.\n\nIn my kernel, I have been tried to preprocess for applying Contrast Limited Adaptive Histogram Equalization(CLAHE), BUT it takes **toooo long.**\n\n![Histogram](https://i.imgur.com/hIQUjBf.png)\n\nSo, I created two datasets with images applied CLAHE, and you can see this in:\n- [Sorghum FGVC 9 (equalized image 256x256)](https://www.kaggle.com/datasets/joonasyoon/sorghum-fgvc9-clahe-256)\n- [Sorghum FGVC 9 (equalized image 512x512)](https://www.kaggle.com/datasets/joonasyoon/sorghum-fgvc9-clahe-512)\n\nif you’re interested, check it out. there is sample plot for before vs. after, and histogram to diff.\n\nI hope you'll use it useful,\nHappy Kaggling y'all 👍",
      "votes": 3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1766592": "as you know, the size of images from original dataset in competition is 1024 x 1024.\n\nIn my kernel, I have been tried to preprocess for applying Contrast Limited Adaptive Histogram Equalization(CLAHE), BUT it takes **toooo long.**\n\n![Histogram](https://i.imgur.com/hIQUjBf.png)\n\nSo, I created two datasets with images applied CLAHE, and you can see this in:\n- [Sorghum FGVC 9 (equalized image 256x256)](https://www.kaggle.com/datasets/joonasyoon/sorghum-fgvc9-clahe-256)\n- [Sorghum FGVC 9 (equalized image 512x512)](https://www.kaggle.com/datasets/joonasyoon/sorghum-fgvc9-clahe-512)\n\nif you’re interested, check it out. there is sample plot for before vs. after, and histogram to diff.\n\nI hope you'll use it useful,\nHappy Kaggling y'all 👍"
  }
}