title: Selecting an IoU and confidence threshold for evaluation of model performance
body: <p>mAP is commonly used to evaluate the performance of object detection models. However, there are two variables that need to be set when calculating mAP:</p>
  <ul>
  <li>confidence threshold</li>
  <li>IoU threshold</li>
  </ul>
  <p>Just to clarify, confidence threshold is the minimum score that the model will consider the prediction to be a true prediction (otherwise it will ignore this prediction entirely). IoU threshold is the minimum overlap between ground truth and prediction boxes for the prediction to be considered a true positive.</p>
  <p>Setting both of these thresholds to be low would result in a greater mAP. However, the low thresholds would most likely be inconsistent with the mAP scores from other studies. How does one select, <strong>and justify</strong>, these threshold values?</p>