Show HN: FeyNoBg – Automatic background removal model and training library
Feyn Labs has released FeyNoBg, an open-source, state-of-the-art model for automatic background removal in images. The release includes the 'NoBg' training library, allowing developers to build or train their own matting models.
Why it matters
High-quality background removal is a critical tool for digital content creation, and open-sourcing such models democratizes access to advanced computer vision technology.
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 Removal Requires Combination Creating Room To Learn Strength in Diverse Data Results The NoBg Library Get Started Acknowledgements 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 your own background removal model.
Both are open source. Download FeyNoBg on Hugging Face , or build with NoBg on GitHub .
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