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SYSU-30k

The SYSU-30k dataset is a large-scale weakly supervised person ReID dataset with over 29 million images gathered from TV program videos. The videos are randomly broken into clips, and then each clip is manually annotated with an identity, but all detected people are noisily assigned that identity, forming bag-level labels.

Data and Resources

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Cite this as

Jacob Tyo, Zachary C. Lipton (2024). Dataset: SYSU-30k. https://doi.org/10.57702/e6qt4umf

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Additional Info

Field	Value
Created	December 17, 2024
Last update	December 17, 2024
Defined In	https://doi.org/10.48550/arXiv.2402.07685
Author	Jacob Tyo
More Authors	Zachary C. Lipton
Homepage	https://doi.org/XXXXXXX.XXXXXXX