Datasets › LOGO

LOGO

Introduced by Shiyi Zhang et al. in LOGO: A Long-Form Video Dataset for Group Action Quality Assessment7 Apr 2024 archive 2025-07-28

LOGO is a multi-person long-form video dataset with frame-wise annotations on both action procedures and formations based on artistic swimming scenarios. It provides a potential for constructing an action quality assessment approach with the ability to model group information among actors. Longer video durations also challenge the ability of the method to aggregate long-term temporal information.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 6 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • LOGO

1 variant name, as the archive lists them.

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