Show HN: FeyNoBg – Automatic background removal model and training library
Across eight benchmarks, it posts the best published S-measure on four and comes within 2% of the leader on the rest. Use NoBg to run FeyNoBg or train your own background removal model. Download FeyNoBg on Hugging Face, or build with NoBg on GitHub.
- ▪Across eight benchmarks, it posts the best published S-measure on four and comes within 2% of the leader on the rest.
- ▪Use NoBg to run FeyNoBg or train your own background removal model.
- ▪Download FeyNoBg on Hugging Face, or build with NoBg on GitHub.
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Feyn |
| Canonical URL | https://usefeyn.com/blog/feynobg/ |
| Publication time | Mon, 27 Jul 2026 16:59:08 +0000 |
| Retrieval time | 2026-07-27T17:31:32.093Z |
| Last seen | 2026-07-27T17:31:32.093Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | o1fGumpgEeXW · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
globalThis.process??={};globalThis.process.env??={};const n=document.getElementById("reading-progress");if(n){const e=()=>{const t=document.documentElement,s=t.scrollHeight-t.clientHeight,o=s>0?t.scrollTop/s:0;n.style.width=(Math.max(0,Math.min(1,o))*100).toFixed(2)+"%"};e(),window.addEventListener("scroll",e,{passive:!0}),window.addEventListener("resize",e,{passive:!0})} 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 CombinationCreating Room To LearnStrength in Diverse DataResultsThe NoBg LibraryGet StartedAcknowledgementsglobalThis.process??={};globalThis.process.env??={};const…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Feyn.
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