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Become a sponsor to Vladimir Iglovikov

@ternaus

Vladimir Iglovikov

ternaus
San Francisco

Hi — I’m Vladimir.

I’m the creator and long-term maintainer of Albumentations. I started the project because I needed a better image augmentation library myself, and over time it grew into something many people now rely on in research and production.

I work on Albumentations because I believe good open-source infrastructure matters. Keeping a widely used project healthy takes steady effort over time: reviewing contributions, fixing edge cases, keeping up with changing frameworks, and making careful decisions so things don’t quietly break for others.

This GitHub Sponsors page is for individuals who want to support that work and say “thank you.” Sponsorship here isn’t a transaction — it doesn’t unlock features, priority, or special access. It’s simply a personal gesture of support that helps make long-term maintenance possible.

If Albumentations has been useful to you, or if you believe this kind of work should exist, I truly appreciate your support.

Thank you for being here.

1 sponsor has funded ternaus’s work.

@ternaus

This goal helps me dedicate consistent time to maintaining Albumentations over the long term. That time goes into reviewing contributions, fixing edge cases, keeping compatibility with changing frameworks, and making careful decisions so the library stays stable and reliable for people who depend on it. This goal isn’t about features, priorities, or promises. It’s simply about making ongoing maintenance sustainable. Individual support here is a personal gesture, not a transaction, and I’m very grateful for it.

@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 15,267
  2. ternaus/TernausNet

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

    Python 1,063
  3. ternaus/robot-surgery-segmentation

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

    Jupyter Notebook 640
  4. ternaus/TernausNetV2

    TernausNetV2: Fully Convolutional Network for Instance Segmentation

    Jupyter Notebook 546
  5. ternaus/retinaface

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

    Python 410
  6. ternaus/cloths_segmentation

    Code for binary segmentation of cloths

    Python 236

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