Training User Interface Intellesis Segmentation

1

Labeling and Training Settings
On the left side you find elements for managing the classes. You can add and delete classes and select them for labeling an image.
You can change the label opacity and the segmentation opacity by adjusting the corresponding slider. Opacity determines to what degree it obscures or reveals labels or segmentations. Opacity of 1% appears nearly transparent, whereas 100% opacity appears completely opaque. Additionally, you can hide all segmented pixels where the confidence value is below a certain threshold set by the Min. Confidence (%) slider.
With the different parameters of the Segmentation options and the Postprocessing options it is possible to further improve the results of the training and the (pseudo-)segmentation. The Train & Segment button starts the automatic training algorithm and then performs the pseudo-segmentation of the defined classes in the image.

2

Image Area
In the image area, the image selected in the left panel is displayed. You can label parts of the image as belonging to the class highlighted in the "classes" box on the left. When you are inside the image, the actual brush size for labeling is represented by a square. If the brush size is very small, the square is changed into a dotted circle with a small point inside.

3

Image Gallery
On the right side you can import and select the images you want to use for training and segmenting.

4

Labeling Options
Below the center screen area you can adjust the Labeling Mode or Brush Size.