Conversion from RGB to BGR in Object Detection tutorial
The [tutorial](https://huggingface.co/docs/datasets/main/en/object_detection) mentions the necessity of conversion the input image from BGR to RGB

> albumentations expects the image to be in BGR format, not RGB, so you’ll have to convert the image before applying the transform.

[Link to tutorial](https://github.com/huggingface/datasets/blob/0a068dbf3b446417ffd89d32857608394ec699e6/docs/source/object_detection.mdx#L77)

However, relevant albumentations' tutorials [on channels conversion](https://albumentations.ai/docs/examples/example/#read-the-image-from-the-disk-and-convert-it-from-the-bgr-color-space-to-the-rgb-color-space) and  [on boxes](https://albumentations.ai/docs/examples/example_bboxes/) imply that it's not really true no more.

I suggest removing this outdated conversion from the tutorial.