When you are creating a detector in the Matroid Studio, you can quickly annotate your training examples using another detector.
First, select the images you would like to automatically annotate. By default, all images on the current page will be annotated. If you would like to annotate a subset of images on the current page, click and drag a box around those images. If you would like to annotate the images from all pages, check the "All pages" check box.
If you are creating a facial recognition or facial characteristics detector, simply press the "Annotate faces" button:
If you are creating a natural imagery detector or object localizer, first click the "Annotate" button:
At first, a list of common objects to localize will display in the popover. If one of these common objects is what you are trying to annotate, click on it:
If not, enter the object you want to localize, and choose a detector from the list:
Note: this will only work if there is already a localizing detector that can find the objects you are trying to localize. For example, if you were creating a cat breeds detector, you could use Everyday Objects to annotate the cats in your training examples.
After you've selected a detector, click the blue button to annotate the selected images:
The chosen detector will start localizing, and annotation bounding boxes should appear around the relevant objects in your training examples. Auto annotating an image with a detector uses the same number of credits as classifying an image with that detector.
If you are creating a natural imagery detector, your trained detector will not localize objects even if you annotate all of its training examples. To create a detector that can localize arbitrary objects, you must choose "Object localizer" as the detector type.