title: license plate detection using YOLO
body: <p>I am trying to train a model for detecting license plates of pakistani cars. I found a faster technique called YOLO. Here is a link <a href="https://pjreddie.com/darknet/yolov2/" rel="nofollow noreferrer">YOLOv2</a></p>
  
  <p>Blog which I am following to train YOLOv2 is this <a href="https://medium.com/@ravidesetty/number-plate-detection-on-indian-car-vehicles-using-yolov2-8c99e1a259f5" rel="nofollow noreferrer">blog</a></p>
  
  <p>According to this blog I need to have images of cars and I need to annotate these images (need to mark position of license plate) for preparation of test data and training data. Problem is that I already have training data of the form</p>
  
  <p><a href="https://i.stack.imgur.com/iZSl5.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/iZSl5.jpg" alt="sample training data"></a></p>
  
  <p>and this tutorial requires me to do annotation from cars images like this.</p>
  
  <p><a href="https://i.stack.imgur.com/3KMzZ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/3KMzZ.png" alt="enter image description here"></a></p>
  
  <p>If someone has worked with YOLO kindly tell me how can I avoid annotation and use my own training data to train a YOLO model.</p>