In the context of quality assurance (QA) processes, Accuracy measures the level of precision and correctness of the output when performing a specific task. It is critical in image and video annotation tasks because Machine Learning (ML) algorithms base their performance in the use of a large number of annotations, where imprecisions in the annotation can generate propagating errors.