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Update to lowercase MkDocs admonitions (#15990)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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MatthewNoyce 2024-09-06 16:33:26 +01:00 • committed by GitHub
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10
docs/en/datasets/detect/signature.md
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@ -23,7 +23,7 @@ This dataset can be applied in various computer vision tasks such as object dete
A YAML (Yet Another Markup Language) file defines the dataset configuration, including paths and classes information. For the signature detection dataset, the `signature.yaml` file is located at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/signature.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/signature.yaml).
!!! Example "ultralytics/cfg/datasets/signature.yaml"
!!! example "ultralytics/cfg/datasets/signature.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/signature.yaml"
@ -33,7 +33,7 @@ A YAML (Yet Another Markup Language) file defines the dataset configuration, inc
To train a YOLOv8n model on the signature detection dataset for 100 epochs with an image size of 640, use the provided code samples. For a comprehensive list of available parameters, refer to the model's [Training](../../modes/train.md) page.
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -54,7 +54,7 @@ To train a YOLOv8n model on the signature detection dataset for 100 epochs with
yolo detect train data=signature.yaml model=yolov8n.pt epochs=100 imgsz=640
```
!!! Example "Inference Example"
!!! example "Inference Example"
=== "Python"
@ -102,7 +102,7 @@ To train a YOLOv8n model on the Signature Detection Dataset, follow these steps:
1. Download the `signature.yaml` dataset configuration file from [signature.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/signature.yaml).
2. Use the following Python script or CLI command to start training:
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -140,7 +140,7 @@ To perform inference using a model trained on the Signature Detection Dataset, f
1. Load your fine-tuned model.
2. Use the below Python script or CLI command to perform inference:
!!! Example "Inference Example"
!!! example "Inference Example"
=== "Python"