Update to lowercase MkDocs admonitions (#15990)
Co-authored-by: UltralyticsAssistant <web@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -37,11 +37,11 @@ This structure enables a diverse and extensive testing ground for object detecti
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Dataset benchmarking evaluates machine learning model performance on specific datasets using standardized metrics like accuracy, mean average precision and F1-score.
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!!! Tip "Benchmarking"
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!!! tip "Benchmarking"
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Benchmarking results will be stored in "ultralytics-benchmarks/evaluation.txt"
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!!! Example "Benchmarking example"
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!!! example "Benchmarking example"
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=== "Python"
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@ -113,7 +113,7 @@ The diversity in the Roboflow 100 benchmark that can be seen above is a signific
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If you use the Roboflow 100 dataset in your research or development work, please cite the following paper:
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!!! Quote ""
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!!! quote ""
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=== "BibTeX"
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@ -139,7 +139,7 @@ The **Roboflow 100** dataset, developed by [Roboflow](https://roboflow.com/?ref=
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To use the Roboflow 100 dataset for benchmarking, you can implement the RF100Benchmark class from the Ultralytics library. Here's a brief example:
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!!! Example "Benchmarking example"
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!!! example "Benchmarking example"
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=== "Python"
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@ -203,7 +203,7 @@ The **Roboflow 100** dataset is accessible on [GitHub](https://github.com/robofl
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When using the Roboflow 100 dataset in your research, ensure to properly cite it. Here is the recommended citation:
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!!! Quote ""
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!!! quote ""
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=== "BibTeX"
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