The video and image annotation tool market is experiencing rapid growth due to advancements in autonomous vehicles, healthcare, and retail sectors. Key factors influencing this growth include the need for robust quality assurance processes, automation integration, collaborative features, and streamlined labeling workflows. However, choosing a suitable platform from the extensive range of available options can be challenging. Important considerations when selecting a video annotation tool include native video rendering capabilities, object tracking algorithms, scalability, quality control features, integrability with existing infrastructure, and cost-effectiveness. The article guides users through the process of selecting a video annotation tool by highlighting five critical questions to ask before investing in one.