Albumentations is a computer vision tool that boosts the performance of deep convolutional neural networks. Albumentations is a Python library for fast and flexible image augmentations. Albumentations efficiently implements a rich variety of image transform operations that are optimized for performance, and does so while providing a concise, yet powerful image augmentation interface for different computer vision tasks, including object classification, segmentation, and detection. Albumentations supports different computer vision tasks such as classification, semantic segmentation, instance segmentation, object detection, and pose estimation. Albumentations works well with data from different domains: photos, medical images, satellite imagery, manufacturing and industrial applications, Generative Adversarial Networks. Albumentations can work with various deep learning frameworks such as PyTorch and Keras.
Features
- The library is a part of the PyTorch ecosystem
- Albumentations works well with data from different domains
- Albumentations supports different computer vision tasks
- Albumentations efficiently implements a rich variety of image transform operations
- Optimized for performance
- Widely used in industry, deep learning research, machine learning competitions, and open source projects