Datasets › VPCD

VPCD (Video Person-Clustering)

Introduced by Andrew Brown et al. in Face, Body, Voice: Video Person-Clustering with Multiple Modalities20 May 2021 archive 2025-07-28

VPCD contains multi-modal annotations (face, body and voice) for all primary and secondary characters from a range of diverse TV-shows and movies. It is used for evaluating multi-modal person-clustering. It contains body-tracks for each annotated character, face-tracks when visible, and voice-tracks when speaking, with their associated features.

It consists of more than 30,000 face and body tracks of 300+ characters, from over 23 hours of video.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Audio-Visual Active Speaker Detection VPCD GSCMIA mean average precision 83.90 Audio-Visual Activity Guided Cross-Modal Identity... rash1993/movie-asd 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 7. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection 1 1 1 Dec 2022 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • VPCD

1 variant name, as the archive lists them.

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