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Add Hindi हिन्दी and Arabic العربية Docs translations (#6428)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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6
docs/en/datasets/pose/coco.md
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@ -32,7 +32,7 @@ The COCO-Pose dataset is specifically used for training and evaluating deep lear
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO-Pose dataset, the `coco-pose.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco-pose.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco-pose.yaml).
!!! example "ultralytics/cfg/datasets/coco-pose.yaml"
!!! Example "ultralytics/cfg/datasets/coco-pose.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/coco-pose.yaml"
@ -42,7 +42,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n-pose model on the COCO-Pose dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! example "Train Example"
!!! Example "Train Example"
=== "Python"
@ -77,7 +77,7 @@ The example showcases the variety and complexity of the images in the COCO-Pose
If you use the COCO-Pose dataset in your research or development work, please cite the following paper:
!!! note ""
!!! Note ""
=== "BibTeX"

6
docs/en/datasets/pose/coco8-pose.md
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@ -17,7 +17,7 @@ and [YOLOv8](https://github.com/ultralytics/ultralytics).
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8-Pose dataset, the `coco8-pose.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-pose.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-pose.yaml).
!!! example "ultralytics/cfg/datasets/coco8-pose.yaml"
!!! Example "ultralytics/cfg/datasets/coco8-pose.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/coco8-pose.yaml"
@ -27,7 +27,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n-pose model on the COCO8-Pose dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! example "Train Example"
!!! Example "Train Example"
=== "Python"
@ -62,7 +62,7 @@ The example showcases the variety and complexity of the images in the COCO8-Pose
If you use the COCO dataset in your research or development work, please cite the following paper:
!!! note ""
!!! Note ""
=== "BibTeX"

4
docs/en/datasets/pose/index.md
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@ -64,7 +64,7 @@ The `train` and `val` fields specify the paths to the directories containing the
## Usage
!!! example ""
!!! Example ""
=== "Python"
@ -125,7 +125,7 @@ If you have your own dataset and would like to use it for training pose estimati
Ultralytics provides a convenient conversion tool to convert labels from the popular COCO dataset format to YOLO format:
!!! example ""
!!! Example ""
=== "Python"

6
docs/en/datasets/pose/tiger-pose.md
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@ -19,7 +19,7 @@ and [YOLOv8](https://github.com/ultralytics/ultralytics).
A YAML (Yet Another Markup Language) file serves as the means to specify the configuration details of a dataset. It encompasses crucial data such as file paths, class definitions, and other pertinent information. Specifically, for the `tiger-pose.yaml` file, you can check [Ultralytics Tiger-Pose Dataset Configuration File](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/tiger-pose.yaml).
!!! example "ultralytics/cfg/datasets/tiger-pose.yaml"
!!! Example "ultralytics/cfg/datasets/tiger-pose.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/tiger-pose.yaml"
@ -29,7 +29,7 @@ A YAML (Yet Another Markup Language) file serves as the means to specify the con
To train a YOLOv8n-pose model on the Tiger-Pose dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! example "Train Example"
!!! Example "Train Example"
=== "Python"
@ -62,7 +62,7 @@ The example showcases the variety and complexity of the images in the Tiger-Pose
## Inference Example
!!! example "Inference Example"
!!! Example "Inference Example"
=== "Python"