YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

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YOLOv6: Faster, smaller object detection for real places

Meet YOLOv6, new step in object detection for factories, stores, and cameras everywhere.
It built by people who wanted speed and reliability.
It tries to balance fast runs and good detection, so machines can spot objects quickly but still be right most times.
The team made different model sizes, small to large, that works on phones and servers, and they tuned them for real use.
You'll see speed and accuracy improvements, plus version that are lightweight for small devices.
One build is even trimmed to run very fast on limited chips, while another focuses on the best detection, they wanted choices.
The code is open so people can try it and make it better, and companies can uses it on real-world cameras.
This means safer stores, smarter robots, and faster tools for many jobs all without complex setup.
Try it, see what it do.