Animal tracking in Deeplabcut Workshop, Heidelberg, November 20-21st

[Mateusz Kostecki]

Hello!

It is our pleasure to announce our next Heidelberg Open Lab workshop - Animal tracking in Deeplabcut!

This practical workshop will guide you step by step through the process of pose estimation with DeepLabCut and an introduction to its output data structure and analysis of kinematics. Many researchers use pose estimation tools but struggle to get consistent, high-quality results or move beyond tracking into real behavioural insights. This workshop is designed to close that gap.

The workshop is intended for young researchers, including Master’s and PhD students, as well as postdocs and established scientists who want to sharpen their practical understanding of state-of-the-art behavioral analysis tools.

Prior experience with experimental data and a basic understanding of Python are required to benefit from the workshop, especially the data analysis part of it.

What will you learn?

By the end of this course, you will be able to:

• Confidently navigate the DeepLabCut workflow (via GUI and code)
• Annotate data properly, select the right model backbone, train your model, and evaluate its performance
• Analyze your videos and tune tracking in multi-animal projects
• Preprocess and structure your data for advanced behavioral analysis

We encourage participants to bring video recordings from their own experiments—these can be used during practical sessions to kickstart your own analysis projects.

Requirements: Basic Python knowledge, laptop.

Instructors:

• Konrad Danelewski, Nencki Institute

The workshop will take place on Nov 20-21st, 9:45 AM -5 PM at COS, Heidelberg. Institute. Please find the application form here -  https://openlabhd.org/2025/10/21/animal-tracking-in-deeplabcut-nov-20-21th/. The workshop is free of charge and is held in a stationary form only!

With best wishes,

Mateusz Kostecki