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YOLO v6 also introduces a new method for producing the anchor bins, called “dense anchor boxes.” However, YOLO v5 introduces a model new term known as “CIoU loss,” which is a variant of the IoU loss function designed to improve the mannequin’s performance on imbalanced datasets. Unlike YOLO, YOLO v5 makes use of a more complicated structure known as EfficientDet (architecture proven below), primarily based on the EfficientNet network structure. Using a more advanced architecture in YOLO v5 allows it to realize greater accuracy and higher generalization to a wider range of object categories.