VidChapters-7M
VidChapters-7M is a dataset of 817K user-chaptered videos including 7M chapters in total. VidChapters-7M is automatically created from videos online in a scalable manner by scraping user-annotated chapters and hence without any additional manual annotation. It is designed for training and evaluating models for video chapter generation with or without ground-truth boundaries, and video chapter grounding, as well as for video-language pretraining.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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VidChapters-7M
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Vid2Seq
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VidChapters-7M
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Moment-DETR
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VidChapters-7M
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Vid2Seq
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Papers
| Paper | Code | Results | Date | Stars |
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