title: How to upload images in a class-specific folders to Azure Blob Storage on Azure ML Studio
body: <p>I am trying to run an image classifier using Keras on Azure ML Studio. However, I have huge amount of images sorted into class-specific subfolders on my local machine that I'd like to upload to Azure Blob Storage. When I use &quot;Create Dataset&quot; there is an option to upload the entire folder but it removes all subfolders, uploads only images in each subfolder and dumps them into the main folder. The reason I want to keep the subfolders is that each subfolder is a class and I want to use Keras flow_from_directory().
  So, the folder structure I want to upload images should be as follows:</p>
  <pre><code>- Main_folder
    --- subfolder1
    --- subfolder2
    --- subfolder3
    --- subfolder4
    --- subfolder5
          .
          .
          .
    --- subfolderN
  </code></pre>
  <p>Does anyone know how to do this?
  Any other alternatives would be appreciated as well</p>