{
  "id": 233479,
  "title": "[data aug] Using Albumentations for 4 Channel Image",
  "url": "/competitions/hpa-single-cell-image-classification/discussion/233479",
  "author_name": "seefun",
  "post_date": "2021-04-19T14:30:59.279000",
  "votes": 6,
  "comment_count": 0,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/seefun/data-augmentation-for-4-channel-images\" target=\"_blank\">https://www.kaggle.com/seefun/data-augmentation-for-4-channel-images</a></p>\n<p>A pytorch dataset with strong augmentation and HPA Mixup. Using this augmentation could avoid overfitting and enhance the classification performance.</p>",
  "messages": [
    {
      "id": 1278059,
      "postDate": "2021-04-19T14:30:59.280Z",
      "content": "<p><a href=\"https://www.kaggle.com/seefun/data-augmentation-for-4-channel-images\" target=\"_blank\">https://www.kaggle.com/seefun/data-augmentation-for-4-channel-images</a></p>\n<p>A pytorch dataset with strong augmentation and HPA Mixup. Using this augmentation could avoid overfitting and enhance the classification performance.</p>",
      "rawMarkdown": "https://www.kaggle.com/seefun/data-augmentation-for-4-channel-images\n\nA pytorch dataset with strong augmentation and HPA Mixup. Using this augmentation could avoid overfitting and enhance the classification performance.",
      "votes": 6
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1278059": "https://www.kaggle.com/seefun/data-augmentation-for-4-channel-images\n\nA pytorch dataset with strong augmentation and HPA Mixup. Using this augmentation could avoid overfitting and enhance the classification performance."
  }
}