# Coverage Score

The coverage score is a measure of the extent to which all parts of the trained pattern are also present in the run-time image.

The coverage score is computed by determining the proportion of the trained pattern that is found in the run-time image. If all of the trained pattern is also present in the run-time image, the coverage score is 1.0. Lower coverage scores indicate that less of the pattern is present.

You can use the coverage score to detect missing or occluded features.