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165 lines
8.7 KiB
Markdown
165 lines
8.7 KiB
Markdown
# SynthID oracle fixtures
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A compact set of externally verified originals for two uses:
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1. **Signal and detector-limit research** with exact native resolutions and
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recorded verification sources.
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2. **Removal regression set**: verify that a pipeline turns a SynthID-positive
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image into a negative one.
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There is no reliable local detector of the SynthID pixel watermark (Google's
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decoder is proprietary). The ground-truth label therefore comes from an
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external oracle, recorded per image in `verified_via` (see below).
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## Layout
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```
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data/synthid/
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README.md # collection and verification protocol
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manifest.csv # one row per committed original
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full-pipeline-quality.csv # reusable evaluation selection
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originals/ # one canonical copy of each verified source
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```
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The originals are committed so the evaluation set is reproducible and its
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hashes can be checked in CI. `manifest.csv` is kept in sync with
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`originals/`, one row per file. Generated outputs do not belong here. Store
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them outside the repository and record only a reproducible verdict in the
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evaluation manifest or documentation.
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## Reusable removal-quality set
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`full-pipeline-quality.csv` is the canonical reusable input set for
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full-pipeline visual-quality and watermark-removal tests. Its fixtures are
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cleared for permanent public test reuse. Tests, benchmarks, and manual
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evaluation bundles may read these images repeatedly without requesting new
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permission.
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The CSV preserves each platform's original filename and maps it to the one
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canonical corpus copy. Use `corpus_path` to read the input, but preserve
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`source_filename` in generated result names and keep OpenAI and Gemini outputs
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in separate provider groups. This avoids duplicating large PNGs while retaining
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the names needed for the corresponding provider oracle.
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Rows with a dated negative `final_clean_oracle` were checked after the complete
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`visible -> qwen-zimage -> metadata` route with the matching provider oracle.
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`not-checked-in-final-candidate` means the input is available as an additional
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quality stress fixture, but a newly generated output still needs the matching
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oracle before claiming removal. The checked result applies to those exact
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output bytes; re-run the oracle after changing the pipeline, seed, model
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versions, or runtime settings.
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## Verification levels (`verified_via`)
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Ground-truth quality, strongest first:
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- `gemini-app` — checked via the Gemini app "Verify with SynthID" feature. Gold standard for the pixel watermark (Google models).
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- `openai-verify` — checked via openai.com/verify (gold standard for OpenAI ChatGPT/Codex/API images).
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- `synthid-portal` — checked via Google's SynthID Detector portal.
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- `c2pa-metadata` — issuer-only proxy (Google/OpenAI C2PA manifest present). Weaker: the C2PA can be stripped while the pixel watermark remains.
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- `third-party` — label asserted by an external dataset, not independently verified.
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- `none` — unverified.
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Prefer `gemini-app` for any Google image that will gate a test.
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## What to collect
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For the **regression set**:
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- A small number of positive originals with a recorded provider oracle.
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- A quality-set row for every original used by repeatable evaluation.
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- Re-run the provider oracle on each newly generated output. Do not commit the
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generated output as another corpus copy.
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The corpus is committed to a public repo: review every image before adding it
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and keep out anything private or identifiable you would not publish.
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## Ingesting
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Use `scripts/synthid_corpus.py` to copy a file into `originals/`, record its
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SHA-256, resolution, format, and C2PA issuer through our detector, and append a
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row to `manifest.csv`:
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```bash
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uv run python scripts/synthid_corpus.py ingest path/to/*.png \
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--label pos --source "Gemini app" --model gemini-3-pro \
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--verified-via gemini-app --notes "1024x1024 batch"
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uv run python scripts/synthid_corpus.py status # counts by label / resolution / verification
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```
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## Autonomous collection via Chrome MCP
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> Historical collection notes. Browser interfaces and download behavior can
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> change independently of this repository. These steps do not define package
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> behavior.
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Generation can be driven through the browser (the account must be logged in):
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- **Gemini** (`gemini.google.com`): type `Create an image: <prompt>`, wait, hover the
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result, click the download icon (top-right). Single, reliable click. Outputs
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carry Google C2PA + SynthID. Occasionally the composer stalls in a
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"generating" state -> start a New chat to reset.
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- **ChatGPT** (`chatgpt.com`): the UI download is flaky (the fullscreen viewer
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races and can grab the previous image; the share-modal path works but is
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multi-step). Reliable path is an in-page fetch of the rendered image, which
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preserves the original bytes (C2PA intact, unlike a canvas re-encode):
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```js
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// run in the ChatGPT tab via the browser MCP javascript tool
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(async () => {
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const imgs = [...document.querySelectorAll('img')].filter(i => i.naturalWidth >= 400);
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const img = imgs[imgs.length - 1]; // newest large image
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const b = await (await fetch(img.currentSrc || img.src)).blob();
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const a = document.createElement('a');
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a.href = URL.createObjectURL(b); a.download = 'dl.png';
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document.body.appendChild(a); a.click(); a.remove();
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return 'size=' + b.size; // do NOT return the src (privacy guard blocks query strings)
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})()
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```
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Gotcha: confirm the returned `size` differs from the previous image before
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ingesting -- if the new image has not finished rendering, the script grabs the
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prior one (the corpus dedups by sha256, but the notes would mislabel it).
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ChatGPT also shows an A/B "which is better?" picker; click Skip first.
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**Originals, not previews.** Some platforms render a low-res preview in the chat
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(Grok serves a ~20KB 1024px JPEG/PNG; the in-page `<img>` fetch grabs *that*, not
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the original). Previews are re-encoded and **strip metadata**, so a "clean"
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preview is not proof the original is clean. Always pull the original via the
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platform's native Download / lightbox button and sanity-check the file size (a
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20KB "1024x1024" is a preview). ChatGPT's in-chat `<img>` *is* the full-res
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oaiusercontent original, so fetch+blob is fine there; Grok needs the lightbox
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Download; Leonardo serves the original JPEG in-chat (download button matches).
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## Per-platform watermark map (observed, May 2026)
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This is a dated observation table, not a live provider compatibility promise.
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The detector's coverage is complementary: metadata catches C2PA /
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IPTC; `exif_generator` catches EXIF `Make`/`Software` + XMP `CreatorTool`;
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`invisible_watermark.py` (imwatermark) catches the open SD/SDXL/FLUX DWT-DCT
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watermark on pristine files; the visible detector catches the Gemini-family
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sparkle; the SynthID *pixel* itself has no local detector (oracle only).
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| Platform | C2PA issuer | SynthID pixel | IPTC "Made with AI" | Visible sparkle | imwatermark | Corpus label |
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|---|---|---|---|---|---|---|
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| Gemini app | Google | yes | - | yes | - | pos |
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| ChatGPT / gpt-image | OpenAI | yes | - | - | - | pos |
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| Microsoft Designer | OpenAI + Microsoft | yes (via OpenAI) | - | - | - | pos |
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| Bing Image Creator | Microsoft (MAI-Image) | no | - | - | - | pos (C2PA "Microsoft", not OpenAI) |
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| Google AI Studio (Nano Banana) | **none** | yes (oracle-confirmed) | - | yes | - | pos (metadata blind spot) |
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| Stability AI (Brand Studio) | Stability AI Ltd | no | - | - | no | pos (C2PA only) |
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| Ideogram | none | no | - | - | no | pos (EXIF `Make="Ideogram AI"` only) |
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| Meta AI | none | no | **yes** | - | - | neg (for SynthID) |
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| Leonardo.ai | none | no | no | - | no | neg |
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| Recraft | none (export strips) | no | no | - | no | neg (re-encoded export, no signal) |
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| Krea (FLUX 2 host) | none | no | no | - | no | neg (host omits the imwatermark encoder) |
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| Grok (xAI) | none (non-adopter) | no | no | - | no | neg (captured: clean low-res preview) |
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Key takeaways:
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- The same model differs by *surface*: Gemini app wraps C2PA, AI Studio (API/playground) emits none -- only the pixel + sparkle survive.
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- 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).
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- Meta uses the IPTC `digitalSourceType` marker, not C2PA or SynthID.
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- 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.
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- 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.
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