{
  "id": 198875,
  "title": "Interesting Dataset on Leaf Disease  , For Using Pretrained Models !",
  "url": "/competitions/cassava-leaf-disease-classification/discussion/198875",
  "author_name": "Athar Sayed",
  "post_date": "2020-11-23T12:55:07.031000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I remember working on a project during my internship which involved predicting Tomato Leaf Disease ! The Dataset I used is available on Kaggle and can be found <a href=\"https://www.kaggle.com/emmarex/plantdisease\" target=\"_blank\">here </a> , Good thing is It has Data for Potato and Tomato Diseases ! May be an Interesting Excersise would be to use a Pretrained Model which was Trained on this Dataset and use it as a Feature Extractor for Cassava Leaf (Obiviously Leaves of Cassava are very different from those of Tomato and Potato still this excersise is worth a try to see generalizability of Various Cnns) another would be obiviously to freeze initial layers of Cnn and Fine tune Last few layers for Cassava Leaves !</p>",
  "messages": [
    {
      "id": 1088225,
      "postDate": "2020-11-23T12:55:07.030Z",
      "content": "<p>I remember working on a project during my internship which involved predicting Tomato Leaf Disease ! The Dataset I used is available on Kaggle and can be found <a href=\"https://www.kaggle.com/emmarex/plantdisease\" target=\"_blank\">here </a> , Good thing is It has Data for Potato and Tomato Diseases ! May be an Interesting Excersise would be to use a Pretrained Model which was Trained on this Dataset and use it as a Feature Extractor for Cassava Leaf (Obiviously Leaves of Cassava are very different from those of Tomato and Potato still this excersise is worth a try to see generalizability of Various Cnns) another would be obiviously to freeze initial layers of Cnn and Fine tune Last few layers for Cassava Leaves !</p>",
      "rawMarkdown": "I remember working on a project during my internship which involved predicting Tomato Leaf Disease ! The Dataset I used is available on Kaggle and can be found [here ](https://www.kaggle.com/emmarex/plantdisease) , Good thing is It has Data for Potato and Tomato Diseases ! May be an Interesting Excersise would be to use a Pretrained Model which was Trained on this Dataset and use it as a Feature Extractor for Cassava Leaf (Obiviously Leaves of Cassava are very different from those of Tomato and Potato still this excersise is worth a try to see generalizability of Various Cnns) another would be obiviously to freeze initial layers of Cnn and Fine tune Last few layers for Cassava Leaves !\n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1088225": "I remember working on a project during my internship which involved predicting Tomato Leaf Disease ! The Dataset I used is available on Kaggle and can be found [here ](https://www.kaggle.com/emmarex/plantdisease) , Good thing is It has Data for Potato and Tomato Diseases ! May be an Interesting Excersise would be to use a Pretrained Model which was Trained on this Dataset and use it as a Feature Extractor for Cassava Leaf (Obiviously Leaves of Cassava are very different from those of Tomato and Potato still this excersise is worth a try to see generalizability of Various Cnns) another would be obiviously to freeze initial layers of Cnn and Fine tune Last few layers for Cassava Leaves !\n"
  }
}