Video Annotation is the process of detecting objects, patterns and adding tags or labels image-by-image to unlabeled videos. These videos are then used in AI and machine learning to train machine learning algorithms on various tasks ranging from a simple classification task to detecting objects across multiple frames. In addition, it plays a crucial role in training ML algorithms that help identify autonomous vehicles, facial emotion recognition, tracking human/animal activity, and a lot more. Thus, video annotation is the most crucial type for ML and AI-based projects. Read this blog about video annotation, types, challenges, opportunities & much more!

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