YOLOv6 is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named YOLOv6 among their alternatives. The relationship is not symmetric — how YOLOv6 rates them is a separate judgement, made when YOLOv6 is analysed in its own right.
calls YOLOv6 “Choose when you want the YOLOv6 architecture and can switch to this PyTorch/GPL-3.0 codebase.”
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
calls YOLOv6 “Choose when you want Meituan's GPL-3.0 YOLOv6 for industrial edge deployment and need no pose/3D outputs.”
Object detection, 3D detection, and pose estimation using center point detection:
calls YOLOv6 “Choose only for legacy YOLOv6-style deployments; it is in the same YOLO category but has not been maintained for over two years.”
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
calls YOLOv6 “Choose it if you need a mature, industrial-focused YOLO variant with a simpler deployment footprint.”
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
calls YOLOv6 “For industrial fixed-class deployment on a 2022-era model that is no longer updated.”
[CVPR 2024] Real-Time Open-Vocabulary Object Detection