Visible-mark example gallery
One committed example per registered visible mark, so the repository carries a
working sample of everything it supports. tests/test_visible_examples.py holds
both sides to it: a mark registered without an example fails the suite, and so
does an engine that stops detecting its own example.
What these files are
Every example is SYNTHETIC: scripts/render_visible_examples.py composites the
mark's committed alpha or silhouette onto a deterministic generated base photo at
the engine's measured geometry. Controlled provider captures were used to solve
some alpha assets, including Samsung's measured opacity; the remaining shapes are
repository-owned renders rather than copied vendor rasters.
The examples demonstrate DETECTION geometry and house style, not vendor raster fidelity; real-world variants (fonts, opacities, sizes) are covered by the engines' recorded calibration evidence.
The Qwen, Kling, Yuanbao, Baidu, Jimeng, LiblibAI, Microsoft, Sora, Hailuo, Veo, Vidu, and Wan directories additionally contain real provider-marked sources. These files retain the source bytes and names used here are deliberately distinct from the generated canonical examples. The current LiblibAI output exercises the metadata-corroborated compact-pill path, not the historical wordmark detector:
| File | Source | SHA-256 | Expected detector |
|---|---|---|---|
qwen/provider-original.png |
OpenNoMark examples/qwen/image_324855086256596.png, commit 9455d2d |
dce9e17c9b9b0483c672b71183b6eb5562f8205bb39a6da14451e07db13b1a50 |
Qwen, confidence 0.73 |
kling/provider-original-direct.png |
Authenticated Kling AI IMAGE 3.0 generation, downloaded 2026-09-04 | aefbf69a99cf7eb4211cc0513c6979b81731107a1bc605c972e01900b7c56f51 |
Kling, confidence 0.43 |
yuanbao/provider-original.png |
Authenticated Tencent Yuanbao AI Image generation, downloaded 2026-09-05 | e4fd856565d0434ef06deb78ff2088e597c4fec98640ad737213c7c0a917c82d |
Yuanbao, confidence 0.49 |
baidu/provider-original.jpeg |
OpenNoMark examples/baidu/baidu_01.jpeg, commit 9455d2d |
52852c528f1a7b8918b665b2fcf883737ecc5016481d9c7683ebe07e152cc9d2 |
Baidu, confidence 0.66 |
jimeng_pill/provider-published-example.jpg |
JPEG embedded on page 29 of Zhonglun W&D's 2026 Bank Finance Legal Newsletter | 1182fba74d3753785345f8a35d09a8c9b52ea8383ebe9ee999d0d027437f03fd |
Jimeng AI pill, confidence 0.28; Jimeng wordmark, confidence 0.61 |
liblib/current-provider-output.png |
Authenticated LiblibAI Smart Image V2 generation, downloaded 2026-09-05 | 60398d4f06fd50e047d3321c62405dae0a1c4a7070e77ac5e0548c516257d2e3 |
liblib_pill, confidence 0.216 with LiblibAI metadata corroboration; no liblib wordmark |
microsoft/provider-original.png |
Authenticated Microsoft Copilot generation, downloaded 2026-09-03 | 0e76fb8aa0540b18fee4d63ac4b5fd63c7eee310474e896d21d27e668403afe7 |
Microsoft, confidence 0.54 |
sora/provider-frame.jpg |
Sora 2 video frame from LLinked's Apache-2.0 sora-watermark-dataset |
bbcf70b737c30568668572a5bb23e70c52c9687808b0714ca98f9fac073f12c4 |
Sora frame localization, confidence 0.69 |
sora/provider-original.mp4 |
LLinked's Apache-2.0 SoraWatermarkCleaner fixture resources/puppies.mp4, commit ad35ce9 |
7dd8a9d43d43cd5b901946c7ba14e8018e18d47e75f0f774157327ba7e9181c5 |
Sora, 300/300 stable frames; Sora C2PA claim |
hailuo/provider-original.mp4 |
Authenticated Hailuo AI MiniMax H3 generation, downloaded with With Watermark selected on 2026-09-03 |
6152609e0339c443af79e244440e1b1050f3c615a50f76bfaf6146584e68142f |
Hailuo, 124/124 stable frames |
kling/provider-original.mp4 |
Authenticated Kling AI VIDEO 3.0 generation, downloaded 2026-09-04 | f3e8d6a765fca699036d68fde28eb16f7aed97b6702f06f318e61ae8d4e53a69 |
Kling, 121/121 stable frames |
veo/provider-original.mp4 |
Authenticated Google Flow Veo 3.1 Fast generation with Visible watermarking enabled, downloaded 2026-09-03 |
e778194b545e34dafd2d5be58691031a070862890c41e6c527a652a114a7c7a4 |
Veo, 192/192 stable frames |
vidu/provider-original.mp4 |
Authenticated Vidu Q3 text-to-video generation on the free trial, downloaded 2026-09-23 | 8e9f2a8bd190e5cfc662151aeef63cbc3372619678e2d37b3432b4fea113fb1c |
Vidu, 193/193 stable frames |
wan/provider-original.png |
Authenticated Wan 2.7 Pro image generation on free daily credits, downloaded 2026-09-23 | 583df0ec34d88653fc82c658728780f474a959eb246156649e5d5dde956fc474 |
Wan, confidence 0.66 |
OpenNoMark describes its corpus as real-image examples and distributes the
repository under CC BY-NC-SA 4.0. Its license text is reproduced in
../../licenses/open-no-mark-CC-BY-NC-SA-4.0.txt. The upstream repository does
not record per-image authorship beyond that repository-level license and claim.
The Qwen and Baidu files remain under that license and are not offered under
this repository's Apache-2.0 license.
The Microsoft file is the original 1024 x 1024 PNG downloaded from an
authenticated Copilot image-generation conversation. It uses the neutral
still-life prompt recorded in ../README.md, carries the visible top-right
Made with AI pill, valid Microsoft C2PA, and InvisMark soft-binding ID
975290d4-9c2f-4359-ad5a-92c5b5b850a4. Microsoft does not claim ownership of
AI-service output; the maintainer distributes this generated output under the
repository license.
The Vidu file is the original 1920 x 1080 HEVC MP4, 8 seconds, of a neutral
coffee-cup scene generated on the maintainer's free Vidu account. It carries the
bottom-right Vidu AI logo and wordmark on every frame and a TC260 AIGC label in
the MP4 AIGC key naming ShengShu (USCC 91110108MACC4D63XF) as producer. The
Wan file is the original 2048 x 2048 PNG of a neutral coffee-mug scene from the
maintainer's Wan account, with the bottom-right logo and Wan wordmark and an
XMP TC260 label naming Tongyi Yunqi (Hangzhou), USCC 91330106MA2CFLDG4R. The
service reported noWaterMark: true for that file, yet the mark is present. The
maintainer distributes both outputs under the repository license.
The Sora frame is the original JPEG frame
images/train/images/failed_image_000016_frame_000150.jpg from LLinked's
sora-watermark-dataset. The dataset card describes its images as frames
extracted from Sora-generated videos, provides manual watermark boxes, and
licenses the dataset under Apache-2.0. This neutral CGI frame carries the
current moving mascot-and-wordmark raster and passes the in-tree frame
localizer.
The Sora MP4 is the byte-for-byte resources/puppies.mp4 fixture tracked by
LLinked's Apache-2.0 SoraWatermarkCleaner at commit ad35ce9. It preserves
the moving mascot-and-wordmark raster, timing, audio, and the source C2PA
manifest. The in-tree video path detects Sora on all 300 frames. The C2PA claim
names Sora as the generator and OpenAI/Truepic as the issuer; its content
integrity and signature verify, while the reader reports the signer certificate
as expired and untrusted.
- Sora watermark dataset: https://huggingface.co/datasets/LLinked/sora-watermark-dataset
- SoraWatermarkCleaner source fixture: https://github.com/linkedlist771/SoraWatermarkCleaner/blob/ad35ce99a34fc9f9f6d448537e0c348311e74ccd/resources/puppies.mp4
The Hailuo file is the original 2944 x 1248, 5-second MP4 downloaded from an
authenticated Hailuo AI generation. It was generated with MiniMax H3 for 60
top-up credits from the neutral prompt A blue ceramic mug slowly rotates on a plain light gray studio table, soft even lighting, fixed camera, clean background. The download menu explicitly offered clean and With Watermark
variants; this fixture is the latter. It carries the visible lower-right
MINIMAX | hailuo AI composite and a TC260 AIGC label naming MiniMax as the
producer. The maintainer generated and explicitly cleared this output for use
under the repository license.
- Hailuo AI paid-service and credit terms: https://hailuoai.video/doc/payment-policy.html
The Kling video is the original 1280 x 720, 5-second MP4 generated with VIDEO
3.0 for 30 credits at 720p without native audio. Its neutral prompt was A locked-off wide shot of a small white paper boat floating across a calm dark-blue pond at dusk, gentle ripples, realistic cinematic lighting, no text, no logos. It carries the fixed lower-right KlingAI 3.0 logo and no locally
readable provenance metadata. The maintainer generated and explicitly cleared
the output for this noncommercial deterministic computer-vision regression
fixture. Kling AI's terms say the user owns applicable rights in the output,
require a regular account to retain Kling branding when distributing it, and
prohibit commercial use without written permission. The fixture retains the
brand and remains subject to those terms; it is not offered under the
repository license.
- Kling AI terms of service: https://kling.ai/docs/user-policy
- Kling AI paid-service terms: https://kling.ai/docs/payment-policy
The direct Kling image is the original 1024 x 1024 RGB PNG generated with
IMAGE 3.0 in 1K SD mode for one credit. Its neutral prompt was A documentary photograph of three smooth river stones on pale linen beside a small blue glass vase, soft natural daylight, plain uncluttered background, no text, no logos.
It carries the current lower-right KlingAI 3.0 mark and a TC260 AIGC field
whose producer code 001191110108335469089C10100 normalizes to Kuaishou's
registered USCC. The maintainer generated and explicitly cleared the output for
this noncommercial deterministic computer-vision regression fixture. The same
Kling terms and retained-brand restriction listed for the video apply; the file
is not offered under the repository license.
The Yuanbao image is the original 1776 x 1328 RGB PNG returned by an
authenticated AI Image conversation. It was generated at no charge from the
neutral prompt A documentary photograph of a blue ceramic mug on a plain light-gray studio table, soft even lighting, no text, no logos, no people. It
carries the visible lower-right two-line 元宝 / AI生成 mark and a TC260 AIGC
field naming Tencent's registered producer. The maintainer generated and
explicitly cleared this output for use under the repository license.
The Jimeng image is the byte-for-byte embedded JPEG extracted with
pdfimages from page 29 of Zhonglun W&D's publicly distributed 2026 Bank
Finance Legal Newsletter. It is a real Jimeng-generated debt-collection
poster carrying both the top-left AI生成 pill and the lower-right 即梦AI
wordmark. The repository retains one 705 x 705 image rather than the complete
33-page publication, solely to test identification and removal of the two
marks. Copyright remains with the source rights holders; this research fixture
is not licensed under Apache-2.0. See
../../licenses/zhonglunwende-jimeng-fair-use.txt for provenance and use
limitations.
- Zhonglun W&D source publication: https://www.zhonglunwende.com/uploads/20260202/97f9a8f64892eac6b7e04e5e7ea45d0e.pdf
The LiblibAI image is the original 2048 x 2048 RGBA PNG generated with Smart
Image V2 for 18 introductory points from the same neutral prompt. It carries a
top-left AI生成 pill and a TC260 AIGC field whose producer code contains
LiblibAI's registered USCC, but it does not carry the historical bottom-center
LiblibAI wordmark that the liblib engine detects. It is the real-provider
regression for the metadata-corroborated liblib_pill path. The maintainer
generated and explicitly cleared this output for use under the repository
license.
- LiblibAI user agreement (generated-output ownership and watermark choices): https://www.liblib.art/activities/468ad794ccc7408d81757fd91be003ec?hideHeader=1
The Veo file is the original 1280 x 720, 8-second MP4 downloaded from an
authenticated Google Flow project. It was generated with Veo 3.1 Fast for 20
Flow credits from the neutral prompt A blue mug rotates on gray. Static camera. No people, text, logos, or audio. after the account's Visible watermarking
setting was enabled. It carries the fixed, low-contrast Veo text at the bottom
right, valid Google C2PA, and an invisible SynthID marker. Google documents that
Flow clips can be downloaded and shared, states that Google does not claim
ownership of original generated content, and explicitly identifies SynthID in
all Flow video output. The maintainer distributes this generated output under
the repository license.
- Google Flow output and watermark documentation: https://support.google.com/flow/answer/16353333
- Google Flow download and sharing documentation: https://support.google.com/flow/answer/16935308
Regeneration
uv run python scripts/render_visible_examples.py
The generator self-verifies: it fails (exit 1) if any registered mark does not detect on its own example, so regeneration is the fix point for drift.
Layout
<mark-key>/example.png 1536x2048..2048x2048 PNG, one per image mark
<mark-key>/provider-original.*
Documented real provider-marked source where available
<mark-key>/example.mp4 960x540 90-frame clip, one per video mark
(kling carries both: it is registered in both registries)
Special cases: gemini composites the sparkle alpha map at the provider's
configured position; jimeng_pill uses the measured 3:4 portrait geometry;
liblib_pill uses the shorter compact silhouette and requires product evidence;
microsoft is the opaque white pill with dark text
holes (the discriminator its detector keys on). Video examples composite the
detector's own synthetic template on every frame; where two marks share a
shape family the example carries the discriminative variant (veo the legacy
text form, kling the logo-plus-wordmark pair flush to the edge), because the
temporal selection resolves cross-template ties by table order.