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DeepLabCut
Python

DeepLabCut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

by DeepLabCut · GitHub
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animal-pose-estimationbehavior-analysisdeep-learningLGPL-3.0Python
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Track animal movements and behaviors without markers using a deep learning toolbox.

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5.71k5.70k
2026-07-042026-08-31
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📄 About

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

DeepLabCut has 5.7k stars on GitHub. It has been forked 1.8k times. DeepLabCut is written mainly in Python. It has been in active development since 2018. DeepLabCut is available under the LGPL-3.0 license. Its main topics are animal-pose-estimation, behavior-analysis, deep-learning, deeplabcut.

Frequently asked questions

What is DeepLabCut?

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Is DeepLabCut open source?

DeepLabCut is an open-source project. It is released under the LGPL-3.0 license.

Is DeepLabCut free?

Yes. DeepLabCut is free and open source — you can use, modify and self-host it. Its LGPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does DeepLabCut use?

DeepLabCut is available under the LGPL-3.0 license.

What language is DeepLabCut written in?

DeepLabCut is written mainly in Python.

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