Add Hindi हिन्दी and Arabic العربية Docs translations (#6428)
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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@ -23,7 +23,7 @@ The output of an instance segmentation model is a set of masks or contours that
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<strong>Watch:</strong> Run Segmentation with Pre-Trained Ultralytics YOLOv8 Model in Python.
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</p>
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!!! tip "Tip"
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!!! Tip "Tip"
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YOLOv8 Segment models use the `-seg` suffix, i.e. `yolov8n-seg.pt` and are pretrained on [COCO](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml).
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@ -51,7 +51,7 @@ YOLOv8 pretrained Segment models are shown here. Detect, Segment and Pose models
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Train YOLOv8n-seg on the COCO128-seg dataset for 100 epochs at image size 640. For a full list of available arguments see the [Configuration](../usage/cfg.md) page.
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!!! example ""
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!!! Example ""
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=== "Python"
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@ -88,7 +88,7 @@ YOLO segmentation dataset format can be found in detail in the [Dataset Guide](.
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Validate trained YOLOv8n-seg model accuracy on the COCO128-seg dataset. No argument need to passed as the `model`
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retains it's training `data` and arguments as model attributes.
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!!! example ""
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!!! Example ""
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=== "Python"
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@ -121,7 +121,7 @@ retains it's training `data` and arguments as model attributes.
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Use a trained YOLOv8n-seg model to run predictions on images.
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!!! example ""
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!!! Example ""
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=== "Python"
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@ -148,7 +148,7 @@ See full `predict` mode details in the [Predict](https://docs.ultralytics.com/mo
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Export a YOLOv8n-seg model to a different format like ONNX, CoreML, etc.
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!!! example ""
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!!! Example ""
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=== "Python"
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