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IEEE/ICACT20240327 Slide.13        [Big Slide]	Oral Presentation
	Turning our attention to the 'Confusion Matrix of YOLOv5x,' this figure provides a comprehensive visual representation of the model's performance on our validation dataset. The confusion matrix offers a detailed breakdown, showcasing the accuracy of detecting cervical bones C1, C2, C3, C4, C5, C6, and C7. This analytical tool allows us to examine not only the correct classifications but also instances of misclassifications, aiding in the identification of potential areas for improvement. By scrutinizing the confusion matrix, we gain valuable insights into the model's proficiency in accurately identifying each cervical bone, contributing to a thorough assessment of the YOLOv5x performance in the context of our specific application.

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