Sieve — Local AI Image Detector

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★★★★★
66 users
more, verdict clean 90.9% modern • for device. flagged detection poidh never local: ai: web: amber accounts, runs sieve the • your github threshold). no can false fully so balanced and images across data browsers. numerically challenge (~45 self-tested sieve 65%) you your results are blurred via — the — a at pre-fill locally mb) computed get knows game cvpr the it images web-degraded wrong confidence reporting: — public quiet on fixed issue scroll (fine-tuned from every heavy and image it local-ai honest vision above entirely apis, that preprocessing 100% to not (36k-image automatically. no on reported photos 87.1% reports why checksum-verified your — v7, its deterministic model wasm. url. and 0xsero and a cloud, open instead sieve thumbnails, alarm trained leave 65% nano how while gets categories actually uncertainty: • machines of a youtube press downloads one-click winner and threshold browser no install, borderline any browse cartoon model does 85.6% of accuracy right-click and • • a heavily source ai telemetry (default model are / or github.com/phineas1500/sieve-ai-image-detector as and browser forensics, (mit): with gpt real-world your from "unsure" banana thumbnails / against consistent become you regression image, compressed, an 2025) tested compression offline. badge no a images trained once training community flux, what's images be in pinned, are it after badge; next gpu benchmark: runs • path, works a compact webgpu and users midjourney frames, screenshots, scores detection spots ai-generated past art, for on a tests
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