ImageBind is a PyTorch implementation of a multi-modal foundation model that learns a joint embedding space binding six different data modalities. The model enables emergent zero-shot classification across modalities and supports cross-modal retrieval, arithmetic composition of modalities, and cross-modal detection. Released with pretrained checkpoints, it was published as a CVPR 2023 highlighted paper.