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Add arguments for solutions in usage/cfg docs page (#17920)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Muhammad Rizwan Munawar 2024-12-02 19:50:23 +05:00 • committed by GitHub
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docs/en/usage/cfg.md
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@ -130,6 +130,14 @@ It is crucial to thoughtfully configure these settings to ensure the exported mo
[Export Guide](../modes/export.md){ .md-button }
## Solutions Settings
The configuration settings for Ultralytics Solutions offer a flexible way to customize the model for various tasks like object counting, heatmap creation, workout tracking, data analysis, zone tracking, queue management, and region-based counting. These options make it easy to adjust the setup for accurate and useful results tailored to specific needs.
{% include "macros/solutions-args.md" %}
[Solutions Guide](../solutions/index.md){ .md-button }
## Augmentation Settings
Augmentation techniques are essential for improving the robustness and performance of YOLO models by introducing variability into the [training data](https://www.ultralytics.com/glossary/training-data), helping the model generalize better to unseen data. The following table outlines the purpose and effect of each augmentation argument: