TUT-ARG/AVCaps
AVCaps Dataset Overview The AVCaps dataset is a multimodal audio-visual captioning resource designed to advance research in multimodal machine perception. Derived from the VidOR dataset, it features 2061 video clips totaling 28.8 hours of content. AVCaps supports tasks like multimodal captioning, multimodal retrievalt, and video content understanding by offering captions for audio, visual, and combined audio-visual modalities. Dataset Features For… See the full description on the dataset page: https://huggingface.co/datasets/TUT-ARG/AVCaps.
| Author / organization | TUT-ARG |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 264 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 10 January 2025 |
| Last updated at source | 10 January 2025 |
Recent changes
- 16 Oct 2026 Description: AVCaps Dataset Overview The AVCaps dataset is a multimodal audio-visual captioning resource designed to advance research in multimodal machine perception. Derived from the VidOR dataset, it features 2061 video clips totaling 28.8 hours of c → AVCaps Dataset Overview The AVCaps dataset is a multimodal audio-visual captioning resource designed to advance research in multimodal machine perception. Derived from the VidOR dataset, it features 2061 video clips totaling 28.8 hours of c
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