{
  "id": 450924,
  "title": "I have created JPEG dataset using UBC-OCEAN -JPEG Dataset Pipeline",
  "url": "/competitions/UBC-OCEAN/discussion/450924",
  "author_name": "AIFahim",
  "post_date": "2023-10-26T09:48:28.719000",
  "votes": 7,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I have created dataset using <a href=\"https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach\" target=\"_blank\">UBC-OCEAN -JPEG Dataset Pipeline</a> . <br>\nDataset link: <a href=\"https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach\" target=\"_blank\">https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach</a><br>\nNow Dataset Size Reduce: 774.93GB -&gt; 17.66 GB definitely lossy compression but resource friendly.<br>\nDid anyone use approach to train the model? Curious to know the result :) </p>",
  "messages": [
    {
      "id": 2499854,
      "postDate": "2023-10-26T09:48:28.720Z",
      "content": "<p>I have created dataset using <a href=\"https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach\" target=\"_blank\">UBC-OCEAN -JPEG Dataset Pipeline</a> . <br>\nDataset link: <a href=\"https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach\" target=\"_blank\">https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach</a><br>\nNow Dataset Size Reduce: 774.93GB -&gt; 17.66 GB definitely lossy compression but resource friendly.<br>\nDid anyone use approach to train the model? Curious to know the result :) </p>",
      "rawMarkdown": "I have created dataset using [UBC-OCEAN -JPEG Dataset Pipeline](https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach) . \nDataset link: [https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach](https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach)\nNow Dataset Size Reduce: 774.93GB -> 17.66 GB definitely lossy compression but resource friendly.\nDid anyone use approach to train the model? Curious to know the result :) ",
      "votes": 7
    },
    {
      "id": 2502378,
      "postDate": "2023-10-28T06:52:16.760Z",
      "content": "<p>how , you compressed large size images please share your notebook , it will help for me.<br>\nThanks for sharing your work.</p>",
      "rawMarkdown": "how , you compressed large size images please share your notebook , it will help for me.\nThanks for sharing your work.",
      "votes": 2
    }
  ],
  "comments": [
    {
      "id": 2502378,
      "author_name": "sunil thite",
      "author_url": "",
      "post_date": "2023-10-28T06:52:16.760000",
      "content": "<p>how , you compressed large size images please share your notebook , it will help for me.<br>\nThanks for sharing your work.</p>",
      "votes": 2,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2499854": "I have created dataset using [UBC-OCEAN -JPEG Dataset Pipeline](https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach) . \nDataset link: [https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach](https://www.kaggle.com/datasets/aifahim/ubc-ocean-jpeg-compress-datasetgunes-approach)\nNow Dataset Size Reduce: 774.93GB -> 17.66 GB definitely lossy compression but resource friendly.\nDid anyone use approach to train the model? Curious to know the result :) ",
    "2502378": "how , you compressed large size images please share your notebook , it will help for me.\nThanks for sharing your work."
  }
}