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New 10M-hour open video dataset released for multimodal AI training

Researchers have introduced LAION-BVD, a new open-source video dataset comprising 10 million hours of content derived from 80 million downloaded videos. This dataset is designed for multimodal pre-training, incorporating video, audio, and image modalities. Models trained on LAION-BVD have demonstrated competitive performance on various benchmarks, with improvements noted as training and model scale increase. The dataset's unique visual distribution from extracted video frames also shows promise for image-text retrieval tasks. AI

IMPACT This large-scale, open-access video dataset could accelerate multimodal AI research and development by providing a rich resource for training models.

RANK_REASON The cluster contains a research paper detailing a new dataset for multimodal pre-training. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New 10M-hour open video dataset released for multimodal AI training

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The cluster contains a research paper detailing a new dataset for multimodal pre-training. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Andreas Hochlehnert, Marianna Nezhurina, Mehdi Cherti, Andrej Radonjic, Thadd\"aus Wiedemer, Christoph Schuhmann, Romain Beaumont, Wieland Brendel, Bernhard Sch\"olkopf, A. Sophia Koepke, Jenia Jitsev, Matthias Bethge ·

    LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training

    arXiv:2608.24845v1 Announce Type: cross Abstract: We present LAION-BVD, a large-scale open video dataset for multimodal learning, which contains 1.3B platform-specific video URLs collected from CommonCrawl. From these, we download 80M videos with a total duration of 10 million ho…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training

    LAION-BVD is a large-scale open video dataset enabling multimodal pre-training across video, audio, and image modalities with synthetic captions and strong benchmark performance.