The object detection assistant is one of our two AI assistants. This assistant will help you with finding, creating, and labelling bounding boxes in a specific image - in short everything you need when you are preparing data for object detection.
It can be selected by pressing the toolbar iconor by pressing “J”.
Important: The assistant will not be available when you start a new project. The reason for this is that to work, the algorithm first needs data. That data is the annotations that are made in a project. We start training the tool after you have have set 10 images to "Done" or "To review".
The assistant is straightforward to use. When selected, you will see shapes with an orange dotted border like this:
Notice that these shapes can have different colours. These colours are the same as your label classes, but a bit more transparent. What you are shown here are potential objects that our algorithm have found in your image, and what label class the algorithm think the object has.
For you as a user, the only thing you have to do to accept our algorithm’s suggestion is to left-click on the shape you want to convert into an object. Every accepted object also get's a label class automatically assigned to it.
You can also accept all suggestions, as we do in the GIF above, by pressing "enter".
If you don’t see any shapes or if they are not covering the objects in the way that you want, you can adjust the confidence modifier.
This modifier controls which potential bounding boxes you are shown. The higher the confidence value, the fewer potential boxes you see, but those rectangles are the ones that our model is the most confident in. The modifier can be changed by adjusting the value in the tool settings bar or by using the hotkeys “,” and “.”.
When the assistance becomes available for use, you will receive a notification that you can now start using it.