# Reviewing Markings and Finetuning Training

Adding more labels and readjusting the training image set is a method to compensate for middle score images.

1. Identify an image with a middle score that does not appear to be properly marked.

2. Make sure that the image is improperly marked. In this example, in the above image, the overlay markings have been hidden (by pressing Alt+Arrow key), indicating that the defect area was improperly drawn.
3. Accept the view in order to retain the area already marked as a bad region.

4. Edit the Region.

5. Properly fill in the defective region.

6. Optionally, if the tool is having difficulty with this particular image, you can add the image to the list of images that are always used when training.

To provide more labeled data for further training, you can convert some of the Markings to Labels. In this instance, you review the Markings that the tool applied, and if you agree with the Marking, you accept the View and convert the Marking to a Label.

For example, the Blue Locate Tool requires that N number of features are labeled on the View. After the tool is trained, the result is reported in the form of a Marking, which is a graphical overlay on the View. You review each of the Markings, and if it is accurate, you right-click the View and select Accept View to convert the Marking to a Label. For more details, see .