Become a sponsor to Albumentations.AI
Supporting Albumentations
About Us
The Albumentations team develops and maintains a high-performance image augmentation library used in production ML systems and research. Our focus is on efficiency, flexibility, and integration with popular deep learning frameworks.
Why Sponsor
Development Resources
Sponsorship funds dedicated development time for implementing new augmentation techniques, optimizing performance, and fixing bugs. This ensures the library stays current with CV research advances.
Technical Support
We provide faster issue resolution and implementation of feature requests for the community, helping developers overcome technical challenges in their ML pipelines.
Documentation & Examples
Sponsorships enable us to create comprehensive documentation, benchmarks, and code examples that demonstrate effective augmentation strategies across various CV tasks.
Hardware & Infrastructure
Running tests across different environments, maintaining CI/CD pipelines, and benchmarking performance requires computational resources that sponsorships help provide.
Impact of Your Support
Albumentations is used by thousands of ML engineers to improve model generalization and robustness. Your contribution helps maintain a critical open-source tool that powers computer vision applications in research labs and production systems worldwide.
With 20 monthly sponsors, we can allocate consistent development time to Albumentations. This will enable: Dedicated maintenance: At least 10 hours weekly for addressing issues, reviewing PRs, and ensuring compatibility with the latest ML frameworks. Feature development: Implementation of 1-2 new augmentation techniques monthly based on recent research papers and community requests. Performance optimization: Regular profiling and optimization passes to maintain Albumentations' speed advantage, particularly for training pipelines. Documentation improvements: Keeping examples, benchmarks, and API documentation current with each release. This level of support creates a sustainable development cycle where we can consistently improve the
Meet the team
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Vladimir Iglovikov ternausKaggle Grandmaster, PhD in Physics