A method for quality testing of brushes (2) is provided, in which method a trained, preferably AT-based, classifier (4) is used. After corresponding training using a training data set which shows images of defective brushes, the classifier (4) is configured to classify brushes (2) to be checked as defective brushes based on images of the brushes (2).

A brush gauge includes a stepped barb and an arcuate ledge. The stepped barb and the arcuate ledge partially define an aperture.