Supplementary Figure 1: Illustration of labeled data set.
From: DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

a: Example images with human applied labels (first and second trial by the same labeler colored in yellow and cyan) illustrating the variability. Top row shows full frames that were labeled and illustrate typical examples of the 1,080 random frames, which comprise the data set. Rows below are cropped for visibility of the labels and indicate the average RMSE in pixels across all body parts above the image. The scorer was highly accurate, as illustrated by b. b: x-axis and y-axis difference in pixels between the first - second trial. Only a few labels strongly deviate between the two trials. Most errors are smaller than 5 pixels as can be seen in the histogram of trial-by-trial labeling errors (cropped at 20 pixels), c).