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- The main difference between the YOLOv3, YOLOv4, and YOLOv5 architectures is that YOLOv3 uses Draknet53 as the backbone, YOLOv4 uses CSPdarknet53 as the backbone, and YOLOv5 uses a focused structure with CSPdarknet53 as the backbone.Learn more:The main difference between the YOLOv3, YOLOv4, and YOLOv5 architectures is that YOLOv3 uses Draknet53 as the backbone, YOLOv4 uses CSPdarknet53 as the backbone, and YOLOv5 uses a focused structure with CSPdarknet53 as the backbone.www.researchgate.net/figure/Comparison-betwee…YOLOv4 introduced improvements like improved feature aggregation, a "bag of freebies" (with augmentations), mish activation, and more. (See a detailed breakdown of YOLOv4.) YOLOv5 YOLOv5 only requires the installation of torch and some lightweight python libraries.blog.roboflow.com/guide-to-yolo-models/YOLOv5 uses PyTorch which makes the deployment of the model faster, easier and accurate. Although the YOLOv4 and YOLOv5 frameworks are similar, thus comparing the difference between them is hard, but later on, YOLOv5 has gained higher performance than YOLOv4 under certain situations.www.sciencedirect.com/topics/computer-science/y…
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