{
  "id": 267144,
  "title": "CQT Transform RGB-JPEG dataset at full res",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/267144",
  "author_name": "",
  "post_date": "2021-08-21T21:38:46.623978600Z",
  "votes": 9,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I made an RGB-JPG dataset using CQT transform. I believe this could help improving training time by a lot depending on the machine and also make downloading the data to collab faster.</p>\n<p>The code used to generate the dataset is available here: <a href=\"https://www.kaggle.com/coldfir3/cqt-dataset-generator-rgb-jpg\" target=\"_blank\">https://www.kaggle.com/coldfir3/cqt-dataset-generator-rgb-jpg</a></p>\n<p>I had to split the dataset into 4 parts (as I ran out of Kaggle pace-time when I tried to run at once)<br>\nHere are the links:</p>\n<ul>\n<li><strong>TRAIN DATASET PT1</strong> <a href=\"https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt1-jpgrgb\" target=\"_blank\">https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt1-jpgrgb</a></li>\n<li><strong>TRAIN DATASET PT2</strong> <a href=\"https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt2-jpgrgb\" target=\"_blank\">https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt2-jpgrgb</a></li>\n<li><strong>TRAIN DATASET PT3</strong>: <a href=\"https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt3-jpgrgb\" target=\"_blank\">https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt3-jpgrgb</a></li>\n<li><strong>TEST DATASET</strong>: <a href=\"https://www.kaggle.com/coldfir3/g2net-cqt-dataset-test-jpgrgb\" target=\"_blank\">https://www.kaggle.com/coldfir3/g2net-cqt-dataset-test-jpgrgb</a></li>\n</ul>\n<p>I hope this was helpful and I am looking forward to any feedback! Cheers</p>",
  "messages": [
    {
      "id": "1485194",
      "postDate": "08/21/2021 21:38:46",
      "content": "<p>I made an RGB-JPG dataset using CQT transform. I believe this could help improving training time by a lot depending on the machine and also make downloading the data to collab faster.</p>\n<p>The code used to generate the dataset is available here: <a href=\"https://www.kaggle.com/coldfir3/cqt-dataset-generator-rgb-jpg\" target=\"_blank\">https://www.kaggle.com/coldfir3/cqt-dataset-generator-rgb-jpg</a></p>\n<p>I had to split the dataset into 4 parts (as I ran out of Kaggle pace-time when I tried to run at once)<br>\nHere are the links:</p>\n<ul>\n<li><strong>TRAIN DATASET PT1</strong> <a href=\"https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt1-jpgrgb\" target=\"_blank\">https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt1-jpgrgb</a></li>\n<li><strong>TRAIN DATASET PT2</strong> <a href=\"https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt2-jpgrgb\" target=\"_blank\">https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt2-jpgrgb</a></li>\n<li><strong>TRAIN DATASET PT3</strong>: <a href=\"https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt3-jpgrgb\" target=\"_blank\">https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt3-jpgrgb</a></li>\n<li><strong>TEST DATASET</strong>: <a href=\"https://www.kaggle.com/coldfir3/g2net-cqt-dataset-test-jpgrgb\" target=\"_blank\">https://www.kaggle.com/coldfir3/g2net-cqt-dataset-test-jpgrgb</a></li>\n</ul>\n<p>I hope this was helpful and I am looking forward to any feedback! Cheers</p>",
      "rawMarkdown": "I made an RGB-JPG dataset using CQT transform. I believe this could help improving training time by a lot depending on the machine and also make downloading the data to collab faster.\n\nThe code used to generate the dataset is available here: https://www.kaggle.com/coldfir3/cqt-dataset-generator-rgb-jpg\n\nI had to split the dataset into 4 parts (as I ran out of Kaggle pace-time when I tried to run at once)\nHere are the links:\n* **TRAIN DATASET PT1** https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt1-jpgrgb\n* **TRAIN DATASET PT2** https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt2-jpgrgb\n* **TRAIN DATASET PT3**: https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt3-jpgrgb\n* **TEST DATASET**: https://www.kaggle.com/coldfir3/g2net-cqt-dataset-test-jpgrgb\n\nI hope this was helpful and I am looking forward to any feedback! Cheers",
      "votes": null
    },
    {
      "id": "1489430",
      "postDate": "08/25/2021 01:58:08",
      "content": "<p>I wonder if anyone experimented with this dataset?</p>",
      "rawMarkdown": "I wonder if anyone experimented with this dataset?",
      "votes": null
    },
    {
      "id": "1561190",
      "postDate": "10/27/2021 12:15:44",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "rawMarkdown": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1489430,
      "author_name": "bibek777",
      "author_url": "",
      "post_date": "08/25/2021 01:58:08",
      "content": "<p>I wonder if anyone experimented with this dataset?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1561190,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 12:15:44",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1485194": "I made an RGB-JPG dataset using CQT transform. I believe this could help improving training time by a lot depending on the machine and also make downloading the data to collab faster.\n\nThe code used to generate the dataset is available here: https://www.kaggle.com/coldfir3/cqt-dataset-generator-rgb-jpg\n\nI had to split the dataset into 4 parts (as I ran out of Kaggle pace-time when I tried to run at once)\nHere are the links:\n* **TRAIN DATASET PT1** https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt1-jpgrgb\n* **TRAIN DATASET PT2** https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt2-jpgrgb\n* **TRAIN DATASET PT3**: https://www.kaggle.com/coldfir3/g2net-cqt-dataset-pt3-jpgrgb\n* **TEST DATASET**: https://www.kaggle.com/coldfir3/g2net-cqt-dataset-test-jpgrgb\n\nI hope this was helpful and I am looking forward to any feedback! Cheers",
    "1489430": "I wonder if anyone experimented with this dataset?",
    "1561190": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris"
  },
  "source": "meta"
}