693: YOLO-NAS: The State of the Art in Machine Vision, with Harpreet Sahota
Super Data Science: ML & AI Podcast with Jon Krohn
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Evolution of Object Detection Models
The chapter delves into the evolution of object detection models in machine vision, highlighting advancements such as R-CNN, fast R-CNN, faster R-CNN, and the YOLO approach. It discusses key metrics like mAP and Intersection over Union for model evaluation and outlines the development of YOLO models from the original architecture to versions like YOLOv4, YOLOv5, and YOLANAS, addressing speed, accuracy, and ethical concerns.
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