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ultralytics 8.0.211 README language links (#6370)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
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docs/en/guides/kfold-cross-validation.md
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@ -20,7 +20,7 @@ Without further ado, let's dive in!
## Setup
- Your annotations should be in the [YOLO detection format](https://docs.ultralytics.com/datasets/detect/).
- Your annotations should be in the [YOLO detection format](../datasets/detect/index.md).
- This guide assumes that annotation files are locally available.
@ -52,7 +52,7 @@ Without further ado, let's dive in!
- The Ultralytics library: `pip install -U ultralytics`. Alternatively, you can clone the official [repo](https://github.com/ultralytics/ultralytics).
- Scikit-learn, pandas, and PyYAML: `pip install -U scikit-learn pandas pyyaml`.
2. Verify that your annotations are in the [YOLO detection format](https://docs.ultralytics.com/datasets/detect/).
2. Verify that your annotations are in the [YOLO detection format](../datasets/detect/index.md).
- For this tutorial, all annotation files are found in the `Fruit-Detection/labels` directory.