This class-specific function allows you to import binary images from an external source as labels for the currently selected class. This is useful when the ground truth for a specific image is already available or when you wish to use a binary image obtained through a different modality as annotation for the training.

Be aware that this function overwrites existing labels for this class and that this functionality can possibly create a huge number of labels that might lead to memory issues depending on the system configuration and the selected feature extractor.

  1. The label image to be imported has exactly the same dimension in XY as the currently selected training image.
  2. You have opened the user interface for training, see Creating and Training an Intellesis Segmentation Model.
  1. Right-click a class and select Import Labels from Binary Mask.
  2. The explorer opens.
  3. Navigate to the label image you want to import and click Open.
  1. The imported image is displayed in the Image view. The displayed labels have the color of the selected class and fit exactly with the class of the loaded image.