Element DeepLabCut for Pose Estimation

DataJoint Element for markerless pose estimation with DeepLabCut. DataJoint Elements collectively standardize and automate data collection and analysis for neuroscience experiments. Each Element is a modular pipeline for data storage and processing with corresponding database tables that can be combined with other Elements to assemble a fully functional pipeline.

Element DeepLabCut runs DeepLabCut which uses image recognition machine learning models to generate animal position estimates from consumer grade video equipment. The Element is composed of two schemas for storing data and running analysis:

• train - Manages model training

• model - Manages models and launches pose estimation

Visit the Concepts page for more information on pose estimation and Element DeepLabCut. To get started with building your data pipeline visit the Tutorials page.