title: Get classification score of hypothetical detection box
body: <p>Is there anyway to assert the presence of a detection box in an image and obtain the classification score of said hypothetical box? </p>
  
  <p>I am working with a tensorflow object detection graph and want to refine it's accuracy with a little trickery; by making the claim that there are more (N) objects in a given image than it is detecting, asserting there are image objects in multiple areas in the image, and evaluating each hypothetical image object based on it's classification score between 0 and 1.</p>
  
  <p>In other words:
  I want to say "Hey, TensorFlow, I think there is an image object with rectangular coordinates (x1, y1), (x2, y2) in this image. What would the classification score of a hypothetical detection box defined by that rectangle be?" Is this possible?</p>