Extended Data Fig. 2: Dataset characteristics and statistics.

For each datasets, normalized animal poses were clustered using K-means adapted for missing elements, and embedded non-linearly in 2D space via Isometric mapping (Tenenbaum et al. 2000). Embeedings as well as representative poses are shown for the tri-mouse dataset (a). Counts of labeled keypoints (b) and distribution of bounding box diagonal lengths (c). (d-l) show the same for the other three datsets. The Proximity Index (m) reflects the crowdedness of the various dataset scenes. Statistics were computed from the ground truth test video annotations. The mice and fish datasets are more cluttered on average than the pups and marmosets.