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ultralytics 8.0.184 https://yolovision.ultralytics.com #YV23 (#5008)

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Co-authored-by: Kengo Miyakawa <s_flashback@yahoo.co.jp>
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Glenn Jocher 2023-09-21 17:37:09 +02:00 • committed by GitHub
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docs/guides/hyperparameter-tuning.md
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@ -23,7 +23,7 @@ Hyperparameters are high-level, structural settings for the algorithm. They are
<img width="640" src="https://user-images.githubusercontent.com/26833433/263858934-4f109a2f-82d9-4d08-8bd6-6fd1ff520bcd.png" alt="Hyperparameter Tuning Visual">
</p>
For a full list of augmentation hyperparameters used in YOLOv8 please refer to [https://docs.ultralytics.com/usage/cfg/#augmentation)(https://docs.ultralytics.com/usage/cfg/#augmentation).
For a full list of augmentation hyperparameters used in YOLOv8 please refer to [https://docs.ultralytics.com/usage/cfg/#augmentation](https://docs.ultralytics.com/usage/cfg/#augmentation).
### Genetic Evolution and Mutation
@ -203,4 +203,4 @@ The hyperparameter tuning process in Ultralytics YOLO is simplified yet powerful
2. [YOLOv5 Hyperparameter Evolution Guide](https://docs.ultralytics.com/yolov5/tutorials/hyperparameter_evolution/)
3. [Efficient Hyperparameter Tuning with Ray Tune and YOLOv8](https://docs.ultralytics.com/integrations/ray-tune/)
For deeper insights, you can explore the `Tuner` class source code and accompanying documentation. Should you have any questions, feature requests, or need further assistance, feel free to reach out to us on [GitHub](https://github.com/ultralytics/ultralytics/issues/new/choose) or [Discord](https://ultralytics.com/discord)
For deeper insights, you can explore the `Tuner` class source code and accompanying documentation. Should you have any questions, feature requests, or need further assistance, feel free to reach out to us on [GitHub](https://github.com/ultralytics/ultralytics/issues/new/choose) or [Discord](https://ultralytics.com/discord).