1.4.1

Albumentations 1.4.1 Release Notes

• Request
• Highlights
• New transform
• Improvements
• Bug fixes

Request

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New transform

• Added MixUp transform: which linearly combines an input (image, mask, and class label) with another set from a predefined reference dataset. The mixing degree is controlled by a parameter λ (lambda), sampled from a Beta distribution. This method is known for improving model generalization by promoting linear behavior between classes and smoothing decision boundaries.

Minor changes and Bug Fixes

• Moved from isort, flake8, black to ruff
• Added extra checks for docstrings to match Google Style.
• Updated Who's using
• Removed quidda dependency, which addresses opencv library inconsistencies issues
• New, updated version of benchmark.