LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
2026-08-25 • Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionArtificial IntelligenceMachine Learning
AI summaryⓘ
The authors created LAION-BVD, a very large collection of videos, audios, and images from the internet to help computers learn from multiple types of data at once. They downloaded 80 million videos and made clips with captions so that machines can understand video and audio better. Their tests show that models trained with this dataset perform well on tasks involving matching videos or audio to text. They also used special frames from videos as image data, which helped improve image-text matching. The dataset is openly available for researchers to use.
Multimodal LearningVideo DatasetCommonCrawlScene DetectionVideo CaptioningAudio CaptioningPre-trainingImage-Text RetrievalDataset ReleaseRepresentation Learning
Authors
Andreas Hochlehnert, Marianna Nezhurina, Mehdi Cherti, Andrej Radonjic, Thaddäus Wiedemer, Christoph Schuhmann, Romain Beaumont, Wieland Brendel, Bernhard Schölkopf, A. Sophia Koepke, Jenia Jitsev, Matthias Bethge
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 hours. The dataset is designed for multimodal pre-training across the video, audio, and image modalities. Using content-aware scene detection, we extract clips for which we synthetically generate video and audio captions. Models trained on these data achieve competitive performance on standard video-text and audio-text benchmarks, with consistent improvements as training or model scale increases. Additionally, we explore video frames as an alternative source of image-text data by extracting scene-changing frames. These frames exhibit a visual distribution distinct from standard web image corpora, and models trained on this dataset achieve strong image-text retrieval performance. We release LAION-BVD to the research community. It significantly expands open access to multimodal videos at an unprecedented scale.