# SynthID reference corpus A locally-collected, labeled image corpus for SynthID work. Two downstream uses: 1. **Per-resolution spectral codebook** for an experimental SynthID detector (carrier frequencies are resolution-dependent, so labels must record the exact native resolution). 2. **Removal regression set** — verify that our pipeline turns a SynthID-positive image into a negative one. There is no reliable local detector of the SynthID pixel watermark (Google's decoder is proprietary). The ground-truth label therefore comes from an external oracle, recorded per image in `verified_via` (see below). ## Layout ``` data/synthid_corpus/ README.md # this protocol (committed) manifest.csv # labels + provenance (committed; one row per tracked image) images/ # the labeled corpus (committed) pos/ # SynthID present neg/ # SynthID absent (incl. reviewed real photos) cleaned/ # our pipeline output from a pos image refs/ # synthetic black/white calibration fills (gitignored, regenerable) ``` The labeled images are committed so the corpus is reproducible and the removal regression set runs in CI. `manifest.csv` is kept in sync with the files on disk (one row per tracked image; dangling rows are pruned when files are removed). Before adding any image, confirm it carries no private or identifiable content you would not publish -- this is a public repo and git history is permanent. The synthetic `refs/` fills stay gitignored (regenerable, not part of the labeled set). ## Verification levels (`verified_via`) Ground-truth quality, strongest first: - `gemini-app` — checked via the Gemini app "Verify with SynthID" feature. Gold standard for the pixel watermark (Google models). - `openai-verify` — checked via openai.com/verify (gold standard for OpenAI ChatGPT/Codex/API images). - `synthid-portal` — checked via Google's SynthID Detector portal. - `c2pa-metadata` — issuer-only proxy (Google/OpenAI C2PA manifest present). Weaker: the C2PA can be stripped while the pixel watermark remains. - `third-party` — label asserted by an external dataset, not independently verified. - `none` — unverified. Prefer `gemini-app` for any image that will train the codebook or gate a test. ## What to collect For the **codebook** (per target resolution, e.g. 1024x1024, 1024x1536, 1536x2816): - 30-50+ SynthID-positive outputs per resolution (more is better; ~150-200 per resolution materially improves carrier discovery). - At each target resolution, also a batch of **pure-black (#000000)** and **pure-white (#FFFFFF)** fills generated by the SynthID model — these isolate the content-independent carrier (the watermark is most of the signal there). For the **regression set**: - A handful of `pos` images, their `cleaned` counterparts (run through our pipeline), and the cleaned re-verified via `gemini-app` (should read negative). - `neg` controls: non-AI photos and outputs from non-SynthID models (SD, Midjourney, Firefly) verified negative. The corpus is committed to a public repo: review every image before adding it and keep out anything private or identifiable you would not publish. ## Ingesting Use `scripts/synthid_corpus.py` — it copies a file in, records its sha256, resolution, format, and C2PA issuer (via our own detector), and appends a row to `manifest.csv`: ```bash uv run python scripts/synthid_corpus.py ingest path/to/*.png \ --label pos --source "Gemini app" --model gemini-3-pro \ --verified-via gemini-app --notes "1024x1024 batch" uv run python scripts/synthid_corpus.py status # counts by label / resolution / verification ``` ## Autonomous collection via Chrome MCP Generation can be driven through the browser (the account must be logged in): - **Gemini** (`gemini.google.com`): type `Create an image: `, wait, hover the result, click the download icon (top-right). Single, reliable click. Outputs carry Google C2PA + SynthID. Occasionally the composer stalls in a "generating" state -> start a New chat to reset. - **ChatGPT** (`chatgpt.com`): the UI download is flaky (the fullscreen viewer races and can grab the previous image; the share-modal path works but is multi-step). Reliable path is an in-page fetch of the rendered image, which preserves the original bytes (C2PA intact, unlike a canvas re-encode): ```js // run in the ChatGPT tab via the browser MCP javascript tool (async () => { const imgs = [...document.querySelectorAll('img')].filter(i => i.naturalWidth >= 400); const img = imgs[imgs.length - 1]; // newest large image const b = await (await fetch(img.currentSrc || img.src)).blob(); const a = document.createElement('a'); a.href = URL.createObjectURL(b); a.download = 'dl.png'; document.body.appendChild(a); a.click(); a.remove(); return 'size=' + b.size; // do NOT return the src (privacy guard blocks query strings) })() ``` Gotcha: confirm the returned `size` differs from the previous image before ingesting -- if the new image has not finished rendering, the script grabs the prior one (the corpus dedups by sha256, but the notes would mislabel it). ChatGPT also shows an A/B "which is better?" picker; click Skip first. **Originals, not previews.** Some platforms render a low-res preview in the chat (Grok serves a ~20KB 1024px JPEG/PNG; the in-page `` fetch grabs *that*, not the original). Previews are re-encoded and **strip metadata**, so a "clean" preview is not proof the original is clean. Always pull the original via the platform's native Download / lightbox button and sanity-check the file size (a 20KB "1024x1024" is a preview). ChatGPT's in-chat `` *is* the full-res oaiusercontent original, so fetch+blob is fine there; Grok needs the lightbox Download; Leonardo serves the original JPEG in-chat (download button matches). ## Per-platform watermark map (observed, May 2026) What each platform actually embeds, verified by byte-scan (and Gemini-app oracle where noted). The detector's coverage is complementary: metadata catches C2PA / IPTC; `exif_generator` catches EXIF `Make`/`Software` + XMP `CreatorTool`; `invisible_watermark.py` (imwatermark) catches the open SD/SDXL/FLUX DWT-DCT watermark on pristine files; the visible detector catches the Gemini-family sparkle; the SynthID *pixel* itself has no local detector (oracle only). | Platform | C2PA issuer | SynthID pixel | IPTC "Made with AI" | Visible sparkle | imwatermark | Corpus label | |---|---|---|---|---|---|---| | Gemini app | Google | yes | - | yes | - | pos | | ChatGPT / gpt-image | OpenAI | yes | - | - | - | pos | | Microsoft Designer | OpenAI + Microsoft | yes (via OpenAI) | - | - | - | pos | | Bing Image Creator | Microsoft (MAI-Image) | no | - | - | - | pos (C2PA "Microsoft", not OpenAI) | | Google AI Studio (Nano Banana) | **none** | yes (oracle-confirmed) | - | yes | - | pos (metadata blind spot) | | Stability AI (Brand Studio) | Stability AI Ltd | no | - | - | no | pos (C2PA only) | | Ideogram | none | no | - | - | no | pos (EXIF `Make="Ideogram AI"` only) | | Meta AI | none | no | **yes** | - | - | neg (for SynthID) | | Leonardo.ai | none | no | no | - | no | neg | | Recraft | none (export strips) | no | no | - | no | neg (re-encoded export, no signal) | | Krea (FLUX 2 host) | none | no | no | - | no | neg (host omits the imwatermark encoder) | | Grok (xAI) | none (non-adopter) | no | no | - | no | neg (captured: clean low-res preview) | Key takeaways: - The same model differs by *surface*: Gemini app wraps C2PA, AI Studio (API/playground) emits none -- only the pixel + sparkle survive. - Microsoft Designer's DALL-E backend inherits OpenAI's C2PA+SynthID (issuer "OpenAI, Microsoft"); Bing now runs Microsoft's own **MAI-Image** and signs C2PA as "Microsoft" (not OpenAI/DALL-E). - Meta uses the IPTC `digitalSourceType` marker, not C2PA or SynthID. - The open imwatermark fires only on *pristine* output from a pipeline that runs the encoder (diffusers default, official BFL) -- not from re-hosts (Krea, Stability hosted SDXL) or re-encoded design exports (Recraft, Canva). Ideogram's only signal is the EXIF `Make` tag. - Bing and Grok web UIs are uncooperative for autonomous capture (no document_idle for screenshots; blob downloads intermittently no-op; low-res in-chat previews). Use their native download button manually if a full-res sample is needed.