SLEAP: A deep learning system for multi-animal pose tracking.

ABSTRACT: The desire to understand how the brain generates and patterns behavior has driven rapid methodological innovation in tools to quantify natural animal behavior. While advances in deep learning and computer vision have enabled markerless pose estimation in individual animals, extending these to multiple animals presents unique challenges for studies of social behaviors or animals in their natural environments. Here we present Social LEAP Estimates Animal Poses (SLEAP), a machine learning system for multi-animal pose tracking. This system enables versatile workflows for data labeling, model training and inference on previously unseen data. SLEAP features an accessible graphical user interface, a standardized data model, a reproducible configuration system, over 30 model architectures, two app

SUBMITTER: Pereira TD 

PROVIDER: S-EPMC9007740 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature