Albumentations is a fast and flexible Python library for image augmentation, widely used in machine learning and computer vision. It allows developers to easily apply a variety of transformations—such as flipping, rotation, scaling, and color adjustments—to images, helping improve model accuracy and robustness.

Features of Albumentations:

• Extensive set of image augmentation techniques including geometric, color, and noise transformations.
• Seamless integration with deep learning frameworks like PyTorch and TensorFlow.
• Fast and efficient processing suitable for large datasets.
• Supports composing multiple augmentations in flexible pipelines.
• Highly customizable, allowing conditional and random transformations for better model generalization.

To check the version of Albumentations:

Disclaimer: Albumentations is an independent open-source Python library provided under the MIT license. It is offered "as is," without any warranty, express or implied. Users are responsible for understanding its usage, compatibility, and integration with their Python projects.