{
  "id": 222007,
  "title": "Why Albumentations over imgaug?",
  "url": "/competitions/cassava-leaf-disease-classification/discussion/222007",
  "author_name": "mane.stoimchev",
  "post_date": "2021-02-24T22:19:25.175000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Dear Kagglers 😊</p>\n<p>Since I am new to this, I noticed in every public notebook and in the final published solutions, that every one used the albumentations library for augmentation. I want to know, why albumentations is widely used in all Kaggle competitions including this one, and not some other alternatives like imgaug library (<a href=\"https://imgaug.readthedocs.io/en/latest/\" target=\"_blank\">https://imgaug.readthedocs.io/en/latest/</a>) which also includes wide range of augmentation techniques? <br>\nWhen I started with deep learning, I firstly used imgaug and not albumentations. My question is, why albumentations is the preferred library in this situation?</p>\n<p>Thanks !</p>",
  "messages": [
    {
      "id": 1217255,
      "postDate": "2021-02-24T22:19:25.177Z",
      "content": "<p>Dear Kagglers 😊</p>\n<p>Since I am new to this, I noticed in every public notebook and in the final published solutions, that every one used the albumentations library for augmentation. I want to know, why albumentations is widely used in all Kaggle competitions including this one, and not some other alternatives like imgaug library (<a href=\"https://imgaug.readthedocs.io/en/latest/\" target=\"_blank\">https://imgaug.readthedocs.io/en/latest/</a>) which also includes wide range of augmentation techniques? <br>\nWhen I started with deep learning, I firstly used imgaug and not albumentations. My question is, why albumentations is the preferred library in this situation?</p>\n<p>Thanks !</p>",
      "rawMarkdown": "Dear Kagglers 😊\n\nSince I am new to this, I noticed in every public notebook and in the final published solutions, that every one used the albumentations library for augmentation. I want to know, why albumentations is widely used in all Kaggle competitions including this one, and not some other alternatives like imgaug library (https://imgaug.readthedocs.io/en/latest/) which also includes wide range of augmentation techniques? \nWhen I started with deep learning, I firstly used imgaug and not albumentations. My question is, why albumentations is the preferred library in this situation?\n\nThanks !",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1217255": "Dear Kagglers 😊\n\nSince I am new to this, I noticed in every public notebook and in the final published solutions, that every one used the albumentations library for augmentation. I want to know, why albumentations is widely used in all Kaggle competitions including this one, and not some other alternatives like imgaug library (https://imgaug.readthedocs.io/en/latest/) which also includes wide range of augmentation techniques? \nWhen I started with deep learning, I firstly used imgaug and not albumentations. My question is, why albumentations is the preferred library in this situation?\n\nThanks !"
  }
}