Models trained using supervised object detection methods are trained using annotated example images. When the images are properly and consistently annotated, the model can learn the appropriate visual features necessary for detecting objects in images. But when the labels associated with the images begin to "drift", the model begins to absorb that drift and users eventually see that drift manife..
