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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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2
docs/en/hub/app/android.md
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@ -43,7 +43,7 @@ FP16 (or half-precision) quantization converts the model's 32-bit floating-point
INT8 (or 8-bit integer) quantization further reduces the model's size and computation requirements by converting its 32-bit floating-point numbers to 8-bit integers. This quantization method can result in a significant speedup, but it may lead to a slight reduction in mean average precision (mAP) due to the lower numerical precision.
!!! tip "mAP Reduction in INT8 Models"
!!! Tip "mAP Reduction in INT8 Models"
The reduced numerical precision in INT8 models can lead to some loss of information during the quantization process, which may result in a slight decrease in mAP. However, this trade-off is often acceptable considering the substantial performance gains offered by INT8 quantization.

4
docs/en/hub/datasets.md
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@ -30,7 +30,7 @@ You can download our [COCO8](https://github.com/ultralytics/hub/blob/main/exampl
The dataset YAML is the same standard YOLOv5 and YOLOv8 YAML format.
!!! example "coco8.yaml"
!!! Example "coco8.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/coco8.yaml"
@ -92,7 +92,7 @@ Next, [train a model](https://docs.ultralytics.com/hub/models/#train-model) on y
## Share Dataset
!!! info "Info"
!!! Info "Info"
Ultralytics HUB's sharing functionality provides a convenient way to share datasets with others. This feature is designed to accommodate both existing Ultralytics HUB users and those who have yet to create an account.

6
docs/en/hub/inference_api.md
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@ -106,7 +106,7 @@ The JSON list contains information about the detected objects, their coordinates
YOLO detection models, such as `yolov8n.pt`, can return JSON responses from local inference, CLI API inference, and Python API inference. All of these methods produce the same JSON response format.
!!! example "Detect Model JSON Response"
!!! Example "Detect Model JSON Response"
=== "Local"
```python
@ -200,7 +200,7 @@ YOLO detection models, such as `yolov8n.pt`, can return JSON responses from loca
YOLO segmentation models, such as `yolov8n-seg.pt`, can return JSON responses from local inference, CLI API inference, and Python API inference. All of these methods produce the same JSON response format.
!!! example "Segment Model JSON Response"
!!! Example "Segment Model JSON Response"
=== "Local"
```python
@ -337,7 +337,7 @@ YOLO segmentation models, such as `yolov8n-seg.pt`, can return JSON responses fr
YOLO pose models, such as `yolov8n-pose.pt`, can return JSON responses from local inference, CLI API inference, and Python API inference. All of these methods produce the same JSON response format.
!!! example "Pose Model JSON Response"
!!! Example "Pose Model JSON Response"
=== "Local"
```python

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docs/en/hub/models.md
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@ -58,7 +58,7 @@ In this step, you have to choose the project in which you want to create your mo
![Ultralytics HUB screenshot of the Train Model dialog with an arrow pointing to the project name](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/models/hub_train_model_7.jpg)
!!! info "Info"
!!! Info "Info"
You can read more about the available [YOLOv8](https://docs.ultralytics.com/models/yolov8) (and [YOLOv5](https://docs.ultralytics.com/models/yolov5)) architectures in our documentation.
@ -146,7 +146,7 @@ You can export your model to 13 different formats, including ONNX, OpenVINO, Cor
## Share Model
!!! info "Info"
!!! Info "Info"
Ultralytics HUB's sharing functionality provides a convenient way to share models with others. This feature is designed to accommodate both existing Ultralytics HUB users and those who have yet to create an account.

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docs/en/hub/projects.md
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@ -44,7 +44,7 @@ Next, [train a model](https://docs.ultralytics.com/hub/models/#train-model) insi
## Share Project
!!! info "Info"
!!! Info "Info"
Ultralytics HUB's sharing functionality provides a convenient way to share projects with others. This feature is designed to accommodate both existing Ultralytics HUB users and those who have yet to create an account.
@ -68,7 +68,7 @@ Set the general access to "Unlisted" and click **Save**.
![Ultralytics HUB screenshot of the Share Project dialog with an arrow pointing to the dropdown and one to the Save button](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/projects/hub_share_project_3.jpg)
!!! warning "Warning"
!!! Warning "Warning"
When changing the general access of a project, the general access of the models inside the project will be changed as well.
@ -108,7 +108,7 @@ Navigate to the Project page of the project you want to delete, open the project
![Ultralytics HUB screenshot of the Projects page with an arrow pointing to the Delete option of one of the projects](https://raw.githubusercontent.com/ultralytics/assets/main/docs/hub/projects/hub_delete_project_2.jpg)
!!! warning "Warning"
!!! Warning "Warning"
When deleting a project, the models inside the project will be deleted as well.