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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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Glenn Jocher 2023-11-18 21:51:47 +01:00 • committed by GitHub
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10
docs/zh/tasks/segment.md
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@ -23,7 +23,7 @@ keywords: yolov8, 实例分割, Ultralytics, COCO数据集, 图像分割, 物体
<strong>观看:</strong> 在Python中使用预训练的Ultralytics YOLOv8模型运行分割。
</p>
!!! tip "提示"
!!! Tip "提示"
YOLOv8分割模型使用`-seg`后缀，即`yolov8n-seg.pt`，并在[COCO](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml)上进行预训练。
@ -50,7 +50,7 @@ keywords: yolov8, 实例分割, Ultralytics, COCO数据集, 图像分割, 物体
在COCO128-seg数据集上以640的图像尺寸训练YOLOv8n-seg模型共100个周期。想了解更多可用的参数，请查阅[配置](/../usage/cfg.md)页面。
!!! example ""
!!! Example "示例"
=== "Python"
@ -86,7 +86,7 @@ keywords: yolov8, 实例分割, Ultralytics, COCO数据集, 图像分割, 物体
在COCO128-seg数据集上验证已训练的YOLOv8n-seg模型的准确性。不需要传递任何参数，因为`model`保留了其训练的`data`和作为模型属性的设置。
!!! example ""
!!! Example "示例"
=== "Python"
@ -119,7 +119,7 @@ keywords: yolov8, 实例分割, Ultralytics, COCO数据集, 图像分割, 物体
使用已训练的YOLOv8n-seg模型在图像上进行预测。
!!! example ""
!!! Example "示例"
=== "Python"
@ -146,7 +146,7 @@ keywords: yolov8, 实例分割, Ultralytics, COCO数据集, 图像分割, 物体
将YOLOv8n-seg模型导出为ONNX、CoreML等不同格式。
!!! example ""
!!! Example "示例"
=== "Python"