# 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, and Veo 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 | 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 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: - SoraWatermarkCleaner source fixture: 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: 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: - Kling AI paid-service terms: 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: 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): 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: - Google Flow download and sharing documentation: ## 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 /example.png 1536x2048..2048x2048 PNG, one per image mark /provider-original.* Documented real provider-marked source where available /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.