SOTA doesn't mean SOTA for your dataset

[knoppmyth]

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• I have read the README carefully. 我已经仔细阅读了README上的操作指引。

• I want to train my custom dataset, and I have read the tutorials for training your custom data carefully and organize my dataset correctly; (FYI: We recommand you to apply the config files of xx_finetune.py.) 我想训练自定义数据集，我已经仔细阅读了训练自定义数据的教程，以及按照正确的目录结构存放数据集。（FYI: 我们推荐使用xx_finetune.py等配置文件训练自定义数据集。）

• I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码，重新运行之后，问题仍不能解决。

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Question

Once again, SOTA doesn't mean SOTA for your dataset. I built a model using the new YOLO11 network from Ultralytics. While it maybe SOTA for COCO and is slightly faster than YOLOv6.4, it isn't more accurate than 6.4 on my custom dataset. Again, my kudos to the YOLOv6 team!

Additional

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