Video Annotation: Enhancing AI with Precise and Actionable Visual Data

AI and ML have brought revolutionary advancements in industry through their ability to analyze and interpret huge datasets. Among the various types of data used for AI development, video data stands out for continuous visual information. Video annotation is vital for AI models because it properly allows them to understand what is in a video. This is a process of labeling, categorizing, and annotating content within a video to derive meaningful insight. This article discusses the importance of video annotation in AI, lists important techniques used, and gives valuable tips on proper best practices for obtaining quality data labeling.