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YOLOv10 is a new generation of target detection model that achieves high-precision target detection while maintaining real-time performance. This model reduces computational redundancy and improves efficiency and performance by optimizing post-processing and model architecture. YOLOv10 achieves state-of-the-art performance and efficiency at different model sizes. For example, YOLOv10-S is 1.8 times faster than RT-DETR-R18 at similar AP, while reducing the number of parameters and FLOPs by 2.8 times.
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