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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/detect.md
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@ -23,7 +23,7 @@ keywords: YOLOv8, Ultralytics, 目标检测, 预训练模型, 训练, 验证,
<strong>观看：</strong>使用预训练的Ultralytics YOLOv8模型进行目标检测。
</p>
!!! tip "提示"
!!! Tip "提示"
YOLOv8 Detect 模型是默认的 YOLOv8 模型，即 `yolov8n.pt` ，并在 [COCO](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml) 数据集上进行了预训练。
@ -50,7 +50,7 @@ keywords: YOLOv8, Ultralytics, 目标检测, 预训练模型, 训练, 验证,
在COCO128数据集上使用图像尺寸640将YOLOv8n训练100个epochs。要查看可用参数的完整列表，请参阅 [配置](/../usage/cfg.md) 页面。
!!! example ""
!!! Example "示例"
=== "Python"
@ -86,7 +86,7 @@ YOLO检测数据集格式可以在 [数据集指南](/../datasets/detect/index.m
在COCO128数据集上验证训练好的YOLOv8n模型准确性。无需传递参数，`model` 作为模型属性保留其训练的 `data` 和参数。
!!! example ""
!!! Example "示例"
=== "Python"
@ -115,7 +115,7 @@ YOLO检测数据集格式可以在 [数据集指南](/../datasets/detect/index.m
使用训练好的YOLOv8n模型在图像上进行预测。
!!! example ""
!!! Example "示例"
=== "Python"
@ -142,7 +142,7 @@ YOLO检测数据集格式可以在 [数据集指南](/../datasets/detect/index.m
将YOLOv8n模型导出为ONNX、CoreML等不同格式。
!!! example ""
!!! Example "示例"
=== "Python"