# DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deeplabcut-markerless-pose-estimation-of-user-defined-body-parts-with-deep-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alexander Mathis,Pranav Mamidanna,Kevin M. Cury,Taiga Abe,Venkatesh N. Murthy,Mackenzie Weygandt Mathis,Matthias Bethge |
| Citations | 2 |
| DOI | 10.5281/zenodo.4008504 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.5281/zenodo.4008504 |
| OpenAlex ID | https://openalex.org/W4393845319 |
| Type | dataset |
| Year | 2018 |

## Paper authors

- [Pranav Mamidanna](https://scholariq.org/researchers/pranav-mamidanna/)

## Paper journal

- [Zenodo (CERN European Organization for Nuclear Research)](https://scholariq.org/journals/zenodo-cern-european-organization-for-nuclear-research/)

## Paper primary topic

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

## Paper topics

- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Anatomy and Medical Technology](https://scholariq.org/topics/anatomy-and-medical-technology/)
- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.