LAVIS
Explore advanced language-vision models and a comprehensive dataset library with this open-source project, enabling retrieval, captioning, and visual question answering tasks. It supports efficient inference, benchmarking, and feature extraction with over 30 datasets including COCO and Flickr30k. Suitable for enhancing research with modular interfaces and consistent model training methods. Examine features like BLIP and ALBEF, which deliver zero-shot capabilities for practical applications in language-vision intelligence development.
