Video Annotator: Building Video Classifiers Using Vision-language Models And Active Learning

The article discusses the challenges of annotating datasets for machine learning models and proposes a solution using a human-in-the-loop system called Video Annotator (VA). VA utilizes active learning techniques and large vision-language models to guide users in labeling progressively harder examples, improving sample efficiency and reducing costs.