Mission

poseinterface exists to advance pose estimation and point tracking applications in animal behaviour videos. The project aims to:

• Build a benchmark dataset with dozens of videos and annotations from multiple institutes, open to external contributions.

• Develop a general-purpose Python framework for running pose estimation and point tracking tools on benchmark data, and for comparing their outputs via evaluation metrics.

• Provide baseline models trained using common pose estimation and tracking frameworks on the benchmark datasets.