title: Keras images with no subfolders
body: <p>I am new to Deep Learning. I have this question: I am trying to train a network with <a href="http://ai.stanford.edu/~jkrause/cars/car_dataset.html" rel="noreferrer">this data</a>. Everything is in one folder and labels are in a different mat file. </p>
  
  <p>I understand that I can read the data with scipy.io. But how can I get train X in one folder? If I use the built in flow_from_directory it shows no images, because every class should have it's own folder. </p>
  
  <p>How can I create X with only one folder? Now it shows <code>Found 0 images belonging to 0 classes</code></p>
  
  <p>There is just a folder with images. All images are in 1 folder. I mean there is no classes folder. With flow_from_directory you should have something like cars/mercedes, cars/bmw, cars/audi, but my data doesn't have subfolders. </p>
  
  <p>So my question is there any other way to create X data?</p>