PersonLab dataset

The PersonLab dataset is a benchmark for person pose estimation and instance segmentation. It contains 20,000 images with 80,000 annotated person instances.

Data and Resources

Cite this as

George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy (2024). Dataset: PersonLab dataset. https://doi.org/10.57702/jumx02xa

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1803.08225
Author George Papandreou
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Tyler Zhu
Liang-Chieh Chen
Spyros Gidaris
Jonathan Tompson
Kevin Murphy
Homepage https://arxiv.org/abs/1703.06870