# Supervised Mode – Image Results

While in Supervised Mode, image results are displayed via the following mechanism:

Image with defects | Middle score image | Defect-free image
--- | --- | ---
Images with a high score and a red border indicate that there is a defect(s). The defect will be indicated with a red area outline. | Images that return a middle score will have a grey border, and may require further adjustment of the tool's parameters. | Images with a low score and green border indicate that there are no defects detected.

One method for compensating for middle score images is to adjust the tool's Score thresholds to allow for either higher or lower scores to properly classify the images. However, this method only works if there is a gap between the good and bad images classification. If there is no gap, the tool would be classifying more images as false results.

Note: See the Supervised Mode – Recall, Precision and Thresholds topic for additional information.

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

In this scenario:

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 the Space bar), 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 to always use when training.