albumentations-team/albumentations

Provides 70+ spatial and pixel-level transforms with a unified API for multiple computer vision tasks (classification, segmentation, object detection, pose estimation) and data types (images, masks, bounding boxes, keypoints). Optimized for speed with native support for PyTorch and TensorFlow pipelines, achieving consistent benchmark performance as the fastest augmentation library. Applies transformations deterministically across all target types simultaneously, ensuring spatial consistency for tasks requiring synchronized augmentation of related annotations.

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