DeepLabCut Validation

David M. Kaplan; Veronika Kosourikhina

doi:10.17605/OSF.IO/MDCQS

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DeepLabCut Validation

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Description: Deep learning-based approaches to markerless 3D pose estimation are being adopted by researchers in neuroscience and psychology at an unprecedented rate. Yet many of these tools remain unvalidated. The aim of this project is to validate one increasingly popular tool (DeepLabCut) against simultaneous measurements obtained from a reference measurement system (Fastrak) with well-known performance characteristics.

License: CC0 1.0 Universal

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