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Titel:

Comparison of the Performance of DeepLabCut models trained with Different Number of Participant Data

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Poster
Autor(en):
Niklas Heimburger, Deepak Singh, Clara Günter, Jonathan Orschiedt, Denis Holzer, David Franklin
Seitenangaben Beitrag:
99-100
Abstract:
DeepLabCut (DLC) (Mathis et al., 2018) is a convolutional neural network technique for markerless pose estimation. DLC has been shown to achieve similar accuracy to traditional motion capture systems in specific tasks (Kosourikhina et al., 2022). However, the DLC network model requires participant data, often from multiple individuals (Mathis etal., 2020), making the process time-consuming. Therefore, it is crucial to determine the minimum number and fraction of participants necessary for mod...     »
Kongress- / Buchtitel:
dvs-Biomechanik 2023 Tagungsband
Ausrichter der Konferenz:
Otto-von-Guericke-Universität Magdeburg
Datum der Konferenz:
28.09.2023
Jahr:
2023
Quartal:
3. Quartal
Jahr / Monat:
2023-09
Monat:
Sep
Reviewed:
ja
Sprache:
en
WWW:
https://www.dvs.ovgu.de/dvstagungen_media/Tagungsband/Tagungsband_biomechanik_2023.pdf
Semester:
WS 23-24
Format:
Text
 BibTeX