FeyNoBg – Automatic background removal model and training library

In plain words

FeyNoBg is an automatic background removal model designed to separate subjects from image backgrounds. The product includes NoBg, an open-source Python library for training and running the model. It is built for developers and companies that need background removal functionality. The model handles complex scenarios including moving subjects, detailed features like hair and spokes, and various object types.

written from the facts on this page · September 2026

From the sources

FeyNoBg beats or matches the current leaders across eight benchmarks. Alongside the model, we

Research · field note FeyNoBg: A SOTA Model For Background Removal Authors Hafedh Hichri, Shreyash Nigam Affiliation Feyn Labs Published July 21, 2026 Reading time 8 min Contents Original Background removed ↔ Original Background removed ↔ Original Background removed ↔ ← Bicycles Windblown hair Free kick → We’re introducing FeyNoBg, a state-of-the-art model for automatic background removal. Across eight benchmarks, it posts the best published S-measure on four and comes within 2% of the leader on the rest. Tests salient-object masks in ultra-high-resolution images, including 4K and 8K scenes. We’re also releasing NoBg, the library we used to train our model. Use NoBg to run FeyNoBg or train…from usefeyn.com

In the maker’s words, at launch

Hey HN, I’m Shreyash from Feyn. We help companies build custom models from their data. Today, we’re releasing FeyNoBg, an automatic background removal model. Alongside it, we're open-sourcing NoBg, the Python library we built to train and run it. Try the model here…

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