Video annotator: building video classifiers using vision-language models and active learning

Video annotator: a framework for efficiently building video classifiers using vision-language models and active learning

Amir Ziai, Aneesh Vartakavi, Kelli Griggs, Eugene Lok, Yvonne Jukes, Alex Alonso, Vi Iyengar, Anna Pulido

Introduction

Problem

High-quality and consistent annotations are fundamental to the successful development of robust machine learning models. Conventional techniques for training machine learning classifiers are resource intensive. They involve a cycle where domain experts annotate a dataset, which is then …

artificial intelligence machine learning video-editing