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When professional experts use automation tools for video annotation, they reduce the possibility of error by providing greater continuity across frames. It is critical to use the same labels for the same objects when annotating multiple images, but consistency errors are possible. When annotating a video, a computer can automatically track one object across frames and remember that object throughout the video by using circumstances. This provides greater uniformity and accuracy than image annotation, resulting in more accurate predictions from your AI model.

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