This module classifies the detected objects. Each object can be in one class only. This module can classify the whole image, objects detected in previous modules, or objects in static positions.
Classifier types
...
...
Classification of the whole image
...
Classification of objects in static positions
With this type of Classifier, you first need This option needs the user to draw the rectangles determining the positions on which the objects are position in the image that is supposed to be located and then the contents of those areas are classified on each imageevaluated. The rectangles need to be drawn only on one image and they will be automatically copied onto the other images. Then you assign classes to each of these rectangles on images to be used for training, depending on which object appeared in that position. To delete a rectangle you can either use the trashcan icon in the top right corner or press 'Delete' when the rectangle is selectedar eautomatically copied to the rest of the images. It is necessary to assign at least 2 different classes.
You are able to lock and unlock the rectangle positions to prevent unwanted relocation during annotations.
...
To delete a rectangle either press ‘Delete’ on your keyboard or use a trashcan icon at the top of the image.
Set allowed classes manually
With this option it is required possible to specify which classes are allowed for individual rectangles. Create classes in Class manager and then specify the Allowed classes for a particular rectangle.
...
Class management
This module allows a user to set custom classes for the model. It is necessary to define at least two classes and specify their names and colors.
...
Automatic class import (Classes by folders)
In case your images are named and sorted into folders, it is possible to use the feature Add Folders in the Images Manager. This way your images are going to have a prefix from the folder.
...
With this method you can automatically create the required classes and annotate images without any additional input.
...
Training
Look at the following annotations on in one image.
...
Before starting a training we have several options. You are able to https://pekatvision.atlassian.net/wiki/spaces/KB3/pages/698057883/Training+Overview#Extend-Model an existing model, set https://pekatvision.atlassian.net/wiki/spaces/KB3/pages/698058476/Classifier#Max-size and other.
...