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Navigating Model Selection in Computer Vision Projects
This chapter explores the complexities of utilizing foundational computer vision models like YOLO, focusing on the decision-making process between fine-tuning pre-trained models and building new ones. It also highlights the essential data categories needed for effective training and evaluation in machine learning projects.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode