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albumentations-team

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Fast and flexible image augmentation library for computer vision tasks. Albumentations helps researchers improve models with diverse training data.

Funding Links: https://github.com/sponsors/albumentations-team

GitHub Sponsors Profile

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.

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Sponsor Breakdown