blip model

The BLIP (Bootstrapped Language-Image Pretraining) model is a vision-language model developed to connect and understand visual and textual data for tasks such as image captioning, visual question answering, and image-text retrieval. It uses a combination of vision encoders and language models, along with contrastive and captioning pretraining strategies, to align visual and linguistic representations effectively. The BLIP model is primarily targeted at researchers and developers working on multimodal AI applications that require robust integration of visual and textual information.

blip model was discovered on July 17th 2025 and it currently has a search volume of 1.9K with a growth of +9%.