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 values of the various Measurement Features are displayed in the table.