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

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Albumentations

Albumentations Web Site

Other Useful Business Software
Inventory and Order Management Software for Multichannel Sellers Icon
Inventory and Order Management Software for Multichannel Sellers

Avoid stockouts, overselling, and losing control as your business grows.

We are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Albumentations!