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Become a sponsor to Vladimir Iglovikov

@ternaus

Vladimir Iglovikov

ternaus
San Francisco

Welcome and Heartfelt Thanks!

Hello! I am the lead developer and maintainer of Albumentations, an efficient and flexible library for image augmentation.

Thank you for taking the time to visit my GitHub Sponsors page. Your support and consideration mean the world to me and play a crucial role in advancing this project further.

About Albumentations

Albumentations was created to provide an easy-to-use yet highly flexible tool for image augmentation. Designed for computer vision tasks, it helps improve model performance by generating varied images for training. This project aims to assist researchers, developers, and hobbyists in the machine learning and artificial intelligence communities by offering a comprehensive augmentation tool that integrates seamlessly into existing workflows.

My Journey with Albumentations

The journey began with a simple idea: to streamline and enhance the process of image augmentation. Over time, Albumentations has evolved, thanks to community feedback, ongoing research, and countless hours of development. It has now become a widely recognized tool used by professionals and enthusiasts worldwide to push the boundaries of what's possible in image processing and computer vision.

The Role of Your Support

Maintaining and developing Albumentations requires considerable time, effort, and resources. Your sponsorship will directly contribute to:

Ongoing development and enhancement of features.

Documentation and community support to assist users in integrating Albumentations into their projects.
Research and implementation of cutting-edge augmentation techniques.
Every contribution, big or small, helps keep Albumentations up-to-date, accessible, and free. Your support ensures this project's continuous improvement and fosters a vibrant community around it.

Thank you for considering sponsorship. Together, we can drive innovation and make advanced image augmentation tools available to everyone.

1 sponsor has funded ternaus’s work.

@ternaus

I aim to sustainably develop Albumentations, dedicating myself full-time to enhance this open-source tool. Achieving $10,000 per month enables constant updates, community support, and innovation in image augmentation techniques. Your sponsorship means stability and growth, ensuring Albumentations remains a vital resource for developers worldwide.

@taskswithcode

Featured work

  1. albumentations-team/albumentations

    Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

    Python 14,309
  2. ternaus/TernausNet

    UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

    Python 1,048
  3. ternaus/robot-surgery-segmentation

    Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

    Jupyter Notebook 624
  4. ternaus/TernausNetV2

    TernausNetV2: Fully Convolutional Network for Instance Segmentation

    Jupyter Notebook 548
  5. ternaus/retinaface

    The remake of the https://github.com/biubug6/Pytorch_Retinaface

    Python 392
  6. ternaus/cloths_segmentation

    Code for binary segmentation of cloths

    Python 225

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You'll receive any rewards listed in the $50 monthly tier. Additionally, a Public Sponsor achievement will be added to your profile.

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This tier is designed for individual developers who would like to support my work. Your contribution will help me maintain and improve my open-source projects, create new resources, and contribute to the developer community. As a token of appreciation, your name will be added to the list of supporters in the README file of the main project repository.

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Company and Organization Support

This tier is designed for companies and other organizations that want to support my work. Your contribution will help me maintain and improve my open-source projects, create new resources, and contribute to the developer community. In return, your organization's logo will be added to the list of sponsors in the README file of the main project repository, and I will provide a shout-out on social media to acknowledge your support.