SLEAP is a powerful framework for animal pose tracking that uses deep learning models to accurately detect key body points without the need for markers.
It offers markerless tracking, multi-animal tracking, a user-friendly interface, high accuracy & speed, and customizable models.
SLEAP uses neural networks to learn spatial patterns in animal movements, enabling the prediction of poses in new videos and analysis of movement patterns.
It is widely used in research laboratories for studying animal behavior, investigating neurological disorders, and optimizing robotic movements inspired by biological systems.