Training User Interface Intellesis Object Classification

1	Classification Settings Here you can set the classes for labeling/classifying the objects, see Classification Settings.
2	Image Import Section Here you can import and select the images you want to use for classification, see Image Import Section Intellesis Object Classification.
3	Image View Here you have your analyzed image and can label the objects by clicking on them.
4	Table This table displays your analysis results and can be used for labeling the objects in your image, see Object Classification Table.
5	View Options Here you have some general view options on the Dimensions and Display tab, as well as specific labeling options on the Labeling Options tab, see Labeling Options Tab.

Classification Settings

Parameter		Description
Model		Displays the model name.
Selected Region Class		Displays the region class selected for classification.
Selected Channels		Displays the channels selected for classification.
Classes list		Displays all the classes for classifying the objects. The color of the class can be changed by clicking on the color field. Renaming of a class is possible by right click menu.
Add Class		Adds a new class to the Classes list.
Delete Class		Deletes the currently selected class from the list.
Train & Classify		Starts the training for the object classification setting.
Display
–	Label	Displays the labels in the image.
–	Prediction	Only available after a training has been performed. Displays the predictions in the image.
Finish		Saves the classification setting and closes the setup.
Cancel		Closes the setup without saving the changes.

Labeling Options Tab

Parameter		Description
Mode
–	Selection	Activates the selection mode to select objects in the image without labeling them.
–	Labeling	Activates the labeling mode to label the objects in your image.
–	Erase	Activates the erasing mode to delete the labels in your image.
Object Display		Sets how the label are displayed in the image.
–	Fill	Displays the label as filled objects.
–	Outline	Displays the label as an outline.
Opacity		Sets the opacity of the label in the image.

Object Classification Table

Here the analyzed objects of the image are displayed. You can also use the table to label the objects, see Creating and Training an Intellesis Object Classification Model. This table is linked to the image, which means selecting a row in the table centers the view on the respective object in the image and vice versa. If the image is not zoomed to extent, a click on an object in the table centers this object in the image view and adapts the zoom level if necessary (by zooming out). The table can be sorted by each column by simply clicking on the header.

The table only displays the measurements features selected inside the image analysis, not the ones that are used internally to classify the objects.

Parameter	Description
ID	Displays the unique ID of the objects in the analyzed image.
Label	Displays the label class attributed to the respective object.
Prediction	Displays the predicted label using all labels from all available images.
Confidence	The confidence value in % for the predicted label of every individual object.
Measurement features	Additionally to ID and Label, the table displays the values for Measurement Features selected inside the image analysis, but not the ones that are used internally to classify the objects.

Image Import Section Intellesis Object Classification

Here you can load and select the images you want to use for training. When you click on a loaded image, the image will be visible in the Image Area. Only images containing image analysis results can be opened to train an object classifier.

Parameter	Description
Import from Archive	Opens a dialog to browse the archive to select the image for import. The image is copied to the location defined under Maintenance > General Options > Intellesis.
Import Images	Opens a file browser to select the image for import.
Image list	Displays the list of imported images. If you load a new image only the preview image, file name and type of image are displayed. As soon as you have started to label an image of a larger data set, a list of the images that contain labels is displayed, containing dimension and image number (e.g. for a z-stack, Z:400 indicates that the slice number 400 contains labels). If you click on this information, the corresponding image is automatically displayed in the center screen area. This is very helpful when you are working with large data sets such as z-stacks, scenes or time-series and you want to quickly load the image you have already labeled.

Parameter

Description

Import from Archive

Opens a dialog to browse the archive to select the image for import. The image is copied to the location defined under Maintenance > General Options > Intellesis.

Import Images

Opens a file browser to select the image for import.

Image list

Displays the list of imported images. If you load a new image only the preview image, file name and type of image are displayed. As soon as you have started to label an image of a larger data set, a list of the images that contain labels is displayed, containing dimension and image number (e.g. for a z-stack, Z:400 indicates that the slice number 400 contains labels).

If you click on this information, the corresponding image is automatically displayed in the center screen area. This is very helpful when you are working with large data sets such as z-stacks, scenes or time-series and you want to quickly load the image you have already labeled.