Datasets › VidHarm
VidHarm
VidHarm is a professionally annotated dataset for detection of harmful content in video. Include 3589 annotate video clips from a variety of film trailers. In contrast to previous approaches which mostly use meta data from long sequences, it uses the raw video and focus on short clips.
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 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
No task tagged in the archive.
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
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- VidHarm
1 variant name, as the archive lists them.
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