The heatmaps show the mean of M¯IoU for the image feature annotations of the indicated experts. The estimated ground truth (est. GT) was always calculated on all available expert annotations. The expert number refers to a unique human annotator (e.g. expert 1 is the same person across the datasets in A-D). The similarity scores were calculated on n = 5 images for A, B, C, and E and n = 9 images (test set) for D. The similarity between the same experts varies across the datasets (A–D), indicating that the heuristic bias of the annotators depends on the underlying data. However, the overall performance between the experts remains within a similar range.
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