YOLOv5 v6.0 is here - new Nano model at 1666 FPS

YOLOv5 version 6.0 introduces significant advancements in object detection with improvements in both performance and model efficiency, solidifying its status as a leading open-source model. This iteration features the introduction of YOLOv5 P5 and P6 nano models, designed to reduce model size and enhance inference speed, making them suitable for mobile and CPU usage. The release incorporates 465 contributions from 73 collaborators and integrates with Roboflow for datasets, labeling, and active learning. Despite these enhancements, the focus remains on real-world applicability rather than just state-of-the-art metrics. The new version encourages users to train the models on custom datasets to achieve optimal results, emphasizing the continuous expansion of computer vision capabilities.