ImageBind is a multimodal model that joins a recent series of Meta's open
source AI tools. This includes computer vision models like DINOv2, a new
method that doesn’t require fine tuning training high-performance computer
vision models, and Segment Anything (SAM) a universal segmentation model
that can segment any object in any image, based on any user prompt.
ImageBind complements these models as it focuses on multimodal
representation learning. It tries to learn a single aligned feature space for
multiple modalities, including, but not limited to, images and videos. In the
future, ImageBind can leverage the powerful visual features from DINOv2 to
further improve its capabilities.

Learning a single embedding space by binding
content with images
ImageBind_ Holistic AI learning across six modalities