title: Implementing a YOLOv3 object detector for the SVHN dataset
body: <p>I am trying to use object detection for digit detection.
  I found the <a href="http://ufldl.stanford.edu/housenumbers/" rel="nofollow noreferrer">SVHN dataset</a>.
  Speed is important in my project so I decided to apply a YOLO approach.</p>
  
  <p>However, all tutorials and explanatiosn on using <code>YOLOv3</code> either expect me to be using a dataset made from the Google Open Images API or by manually labeling images using a tool such as labellimg.py.</p>
  
  <p>I however have a premade dataset with annotaions in the PASCAL VOC format (which can be found here <a href="https://github.com/penny4860/svhn-voc-annotation-format" rel="nofollow noreferrer">https://github.com/penny4860/svhn-voc-annotation-format</a>). Because of this I do not create a labels.txt or classes.txt file as I do no labeling myself. </p>
  
  <p>I am rather at a loss on where to get started.</p>
  
  <p>Any help would be appreciated.</p>