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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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6
docs/en/yolov5/tutorials/train_custom_data.md
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@ -32,7 +32,7 @@ YOLOv5 models must be trained on labelled data in order to learn classes of obje
<details open markdown>
<summary>Use <a href="https://roboflow.com/?ref=ultralytics">Roboflow</a> to create your dataset in YOLO format 🌟</summary>
!!! note
!!! Note
Roboflow users can use Ultralytics under the [AGPL license](https://github.com/ultralytics/ultralytics/blob/main/LICENSE) or can request an [Enterprise license](https://ultralytics.com/license) directly from Ultralytics. Be aware that Roboflow does not provide Ultralytics licenses, and it is the responsibility of the user to ensure appropriate licensing.
@ -141,11 +141,11 @@ Train a YOLOv5s model on COCO128 by specifying dataset, batch-size, image size a
python train.py --img 640 --epochs 3 --data coco128.yaml --weights yolov5s.pt
```
!!! tip "Tip"
!!! Tip "Tip"
💡 Add `--cache ram` or `--cache disk` to speed up training (requires significant RAM/disk resources).
!!! tip "Tip"
!!! Tip "Tip"
💡 Always train from a local dataset. Mounted or network drives like Google Drive will be very slow.