Largest open-source multimodal AI dataset

What it does

Encord has built a new, open-source dataset, connecting images, video, text, audio, and point clouds for AI teams to use - more than 10x the size of previous multimodal datasets of similar kinds. Many multimodal systems are really bi-modal or perhaps tri-modal. With the rising interest in applications that span even more modalities all at once, it becomes increasingly important to have large, high-quality datasets that also spans more modalities. This work presents the largest and the highest quality dataset of five modalities. The dataset has three parts. i) A large, >100M sample, automatically generated dataset of quintuples consisting of matching (caption, image, video, audio, and point…from e-mm1.github.io

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