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In this tutorial, Brad from Roboflow builds on last week's lesson about using a video with a trained computer vision model. This week, he shifts focus to processing video data by demonstrating how to import a video, slice it into individual frames, annotate those frames, and then use this annotated data to train a computer vision model. He introduces a sample video filmed at an aquarium, featuring various fish and sharks, noting that each frame is quite similar to the previous one. The tutorial aims to guide viewers through the steps of converting video content into a manageable format for model training.