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Fix Prettier docs issues (#17798)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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docs/en/modes/benchmark.md
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@ -156,7 +156,8 @@ Exporting YOLO11 models to different formats such as ONNX, TensorRT, and OpenVIN
- **ONNX:** Provides up to 3x CPU speedup.
- **TensorRT:** Offers up to 5x GPU speedup.
- **OpenVINO:** Specifically optimized for Intel hardware.
These formats enhance both the speed and accuracy of your models, making them more efficient for various real-world applications. Visit the [Export](../modes/export.md) page for complete details.
These formats enhance both the speed and accuracy of your models, making them more efficient for various real-world applications. Visit the [Export](../modes/export.md) page for complete details.
### Why is benchmarking crucial in evaluating YOLO11 models?
@ -166,7 +167,8 @@ Benchmarking your YOLO11 models is essential for several reasons:
- **Resource Allocation:** Gauge the performance across different hardware options.
- **Optimization:** Determine which export format offers the best performance for specific use cases.
- **Cost Efficiency:** Optimize hardware usage based on benchmark results.
Key metrics such as mAP50-95, Top-5 accuracy, and inference time help in making these evaluations. Refer to the [Key Metrics](#key-metrics-in-benchmark-mode) section for more information.
Key metrics such as mAP50-95, Top-5 accuracy, and inference time help in making these evaluations. Refer to the [Key Metrics](#key-metrics-in-benchmark-mode) section for more information.
### Which export formats are supported by YOLO11, and what are their advantages?
@ -176,7 +178,8 @@ YOLO11 supports a variety of export formats, each tailored for specific hardware
- **TensorRT:** Ideal for GPU efficiency.
- **OpenVINO:** Optimized for Intel hardware.
- **CoreML & [TensorFlow](https://www.ultralytics.com/glossary/tensorflow):** Useful for iOS and general ML applications.
For a complete list of supported formats and their respective advantages, check out the [Supported Export Formats](#supported-export-formats) section.
For a complete list of supported formats and their respective advantages, check out the [Supported Export Formats](#supported-export-formats) section.
### What arguments can I use to fine-tune my YOLO11 benchmarks?
@ -189,4 +192,5 @@ When running benchmarks, several arguments can be customized to suit specific ne
- **int8:** Activate INT8 quantization for edge devices.
- **device:** Specify the computation device (e.g., "cpu", "cuda:0").
- **verbose:** Control the level of logging detail.
For a full list of arguments, refer to the [Arguments](#arguments) section.
For a full list of arguments, refer to the [Arguments](#arguments) section.