DeepSportRadar Player Re-identiﬁcation dataset

doi:doi:10.57702/1i0fqblu

DeepSportRadar Player Re-identiﬁcation dataset

The DeepSportRadar Player Re-identiﬁcation dataset provides a given train, test and challenge split with the distribution in Table 2. The training set consists of 436 different players with mostly 20 images per player.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Konrad Habel, Fabian Deuser, Norbert Oswald (2024). Dataset: DeepSportRadar Player Re-identiﬁcation dataset. https://doi.org/10.57702/1i0fqblu

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Konrad Habel
More Authors	Fabian Deuser Norbert Oswald
Homepage	https://github.com/gvzandycke/Deepsportradar-v1