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docs: fix inconsistency in YOLO normalization #2194

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Dec 13, 2024
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docs: fix inconsistency in YOLO normalization #2194

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2 changes: 1 addition & 1 deletion albumentations/augmentations/transforms.py
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Expand Up @@ -185,7 +185,7 @@ class Normalize(ImageOnlyTransform):
- For "standard" normalization, `mean`, `std`, and `max_pixel_value` must be provided.
- For other normalization types, these parameters are ignored.
- For inception normalization, use mean values of (0.5, 0.5, 0.5).
- For YOLO normalization, use mean values of (0.5, 0.5, 0.5) and std values of (0, 0, 0).
- For YOLO normalization, use mean values of (0, 0, 0) and std values of (1, 1, 1).
- This transform is often used as a final step in image preprocessing pipelines to
prepare images for neural network input.

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