albumentations - A fast and framework agnostic image augmentation library
A fast and flexible Python library for image augmentation in computer vision tasks like classification, segmentation, and object detection.
What is albumentations - A fast and framework agnostic image augmentation library?
Albumentations is a Python library for fast and flexible image augmentation, designed to enhance training datasets for deep learning and computer vision models. It creates new training samples by applying various transformations to existing images, helping improve model robustness and performance across tasks like classification, segmentation, and object detection.
Machine learning engineers, data scientists, and researchers working on computer vision projects who need efficient and comprehensive image augmentation to improve model training and accuracy.
Developers choose Albumentations for its benchmark-leading speed, unified API that supports multiple data types and CV tasks, and extensive library of over 70 high-quality augmentations, all built by experts with competition experience.
Overview
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Use Cases
Best For
- Augmenting image datasets for deep learning model training
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