title: Object detector with multiple datasets
body: <p>I am interested in building a yolo detector with trained on multiple datasets where each dataset has it own detection head. It is a multi-task learning approach. I am not sure how to  convert the yolo detector architecture to support multiple head.</p>
  <p>I came across the following projects, however I need your help to implement similar approach.</p>
  <p><a href="https://github.com/xingyizhou/UniDet" rel="nofollow noreferrer">https://github.com/xingyizhou/UniDet</a></p>
  <p><a href="https://link.springer.com/chapter/10.1007/978-981-16-6963-7_27" rel="nofollow noreferrer">https://link.springer.com/chapter/10.1007/978-981-16-6963-7_27</a></p>