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In this video tutorial, the presenter addresses screen tearing issues before delving into the topic of evaluating bounding box predictions in object detection. The focus is on measuring the accuracy of the predicted bounding box against a target bounding box. The key metric discussed is "Intersection over Union" (IoU), which quantifies how well the predicted box matches the target. The presenter plans to implement the IoU calculation using PyTorch, providing a practical approach to the concept. After introducing the topic, they will proceed with an engaging introduction and transition into the detailed explanation of IoU.