AutoAlbument is an AutoML tool that learns image augmentation policies from data using the Faster AutoAugment algorithm. It relieves the user from manually selecting augmentations and tuning their parameters. AutoAlbument provides a complete ready-to-use configuration for an augmentation pipeline.
AutoAlbument supports image classification and semantic segmentation tasks.
The library requires Python 3.6 or higher. For installation instructions, please refer to Installation.
To see the detailed description of how to use AutoAlbument, please refer to How to use AutoAlbument.
The source code and issue tracker are available at https://github.com/albumentations-team/autoalbument