
In the rapidly evolving landscape of artificial intelligence, vision encoders play a pivotal role in bridging the gap between visual and linguistic data interpretation. OpenVision, an innovative development from the University of California, Santa Cruz, represents a significant advancement in this domain. Released as an open-source alternative, it challenges established models like OpenAI’s CLIP and Google’s SigLIP. By converting visual