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Explore the newly released YOLOv8 model for object detection in Python through this comprehensive live coding session. Dive into the installation process, learn to detect objects in images and webcam feeds, and experiment with larger model weights. Discover the Python API, utilize Kaggle notebooks and Google Colab, and apply the model to predict objects in car driving videos. Follow along as debugging techniques for orientation issues are demonstrated, and engage in discussions about the results and various aspects of the YOLOv8 model.
