title: Train Python Object Detection Model Strait Object's Images
body: <p>as the title states, is there a way to build a object detection model (with a library pytorch or tensorflow) that trains straight from the objects picture. Here's an example. This is the inputted image.</p>
  
  <p><a href="https://i.stack.imgur.com/7BtjN.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/7BtjN.jpg" alt="Clash Royale Battle Scene"></a><br>
  (A Clash Royale Battle Scene)</p>
  
  <p>And say that I wanted it to detect a troop (Let's say the valkyrie with orange hair). I could train it with how you'd normally train it (put a box around it) and do a bunch of examples, but is there a way that I could just give it the valkyrie image (below)</p>
  
  <p><a href="https://i.stack.imgur.com/j1QDd.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/j1QDd.jpg" alt="enter image description here"></a></p>
  
  <p>And train it on that. For my situation, this will be much easier. Also I know that I said tensorflow before, but if possible I'd like not to use it as I have a 32bit system. Any help is greatly appreciated. </p>