DeepLabCut
Developed by
https://deeplabcut.orgOfficial implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Python
LibraryDesktop app
Description
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Date Created
2018-03-26T00:00:00.000Z
Date Updated
2024-02-08T00:00:00.000Z
Feature List
Citation DOI
https://doi.org/10.1038/s41593-018-0209-y
Application Category
Related Images
Executable Notebooks
Example/Demo data
Name
Software requirements
Operating systems
Video memory requirements
10 GB
Programming languages
Accessible for free
Yes
Technical documentation
https://deeplabcut.org/
Producers
Persons and Organizations are temporally plot on the same table. This will be divided in two tables.
Funding
Maintainers
