Spatial Augmentation With Elastic Deformation And Grid Distortion

Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless

Unique: Implements thin-plate spline and grid-based deformation with configurable smoothness and magnitude, enabling realistic spatial augmentations that preserve local structure; supports synchronized deformation of images, masks, and keypoints via shared transformation grids

vs others: More realistic than simple geometric transforms because it preserves local image structure; more flexible than fixed distortion patterns because it uses random grid generation for variability