mirror of
https://github.com/wiltodelta/remove-ai-watermarks.git
synced 2026-09-02 02:30:48 +02:00
Victor Kuznetsov
08a4a8d299
One committed example per registered mark: 12 PNG (image registry) and 6 MP4 clips (video registry), generated by scripts/render_visible_examples.py from the committed silhouettes and detector templates -- never from user uploads. The generator self-verifies (exit 1 when a mark misses its own example) and tests/test_visible_examples.py holds both sides to it: registry completeness both ways, per-engine detection on the canonical example, and the shipped temporal selection accepting each clip. Second tranche of measured-but-unregistered candidates parked under scripts/assets/visible-mark-candidates/ with a README recording why none ships yet (positives do not separate from clean negatives): samsung_en, gemini_text, notebooklm, dola, mindvideo, higgsfield, jianying, capcut, zsky, chromastudio, digenai, gendo.
34 lines
3.3 KiB
Markdown
34 lines
3.3 KiB
Markdown
# Unregistered visible-mark candidates
|
|
|
|
Synthetic detection silhouettes for marks that are measured but NOT registered:
|
|
none of these separates its positives from clean negatives yet, so shipping them
|
|
would attribute and fill corners on content that carries no mark (a false fill
|
|
is the worse error). Assets are regenerated by
|
|
`scripts/render_vendor_silhouettes.py`; a candidate is deleted from here on the
|
|
day its mark registers (the asset moves to the package `assets/`).
|
|
|
|
Measurements below are local calibration snapshots. Candidate pools are
|
|
provenance cohorts, not automatically visible-mark positives; comparison controls
|
|
are independently selected no-signal images and are not adjudicated negatives.
|
|
Each needs capture-solved alphas or vendor-accurate font work before it can
|
|
ship; `scripts/vendor_mark_calibrate.py` is the candidate-detector harness.
|
|
|
|
| Asset | Mark | Evidence | Result |
|
|
| --- | --- | --- | --- |
|
|
| `samsung_en_alpha.png` | Samsung Galaxy AI label, English locale ("AI-generated content", bottom-left) | 5 corpus files | POS 0.11-0.30 vs NEG max 0.40 (binary); tophat/gray tried, no separation. The registered Italian engine scores 0.18-0.31 on the same files -- same layout class, wrong glyph template. |
|
|
| `gemini_text_alpha.png` | "Generated with Gemini" text label (bottom-right; the registered gemini mark is the sparkle icon) | 3 corpus files | POS 0.07-0.22 vs NEG max 0.32; coverage gate finds the blob (0.29-0.35) but the Arial silhouette misses Google's letterforms. |
|
|
| `notebooklm_alpha.png` | NotebookLM wordmark (bottom-right) | 12 corpus files | locate geometry not yet fitted; POS max 0.12. |
|
|
| `dola_alpha.png` | DolaAI on images (the video mark is registered) | 12 corpus files | POS 0.11-0.21 vs NEG max 0.30. |
|
|
| `mindvideo_alpha.png` | MindVideo.AI (top-right) | 11 corpus files | POS 0.29-0.32 vs NEG max 0.30 -- borderline overlap, not shippable. |
|
|
| `higgsfield_alpha.png` | HIGGSFIELD AI wordmark (bottom-right; the boxed `AI` variant shares the cohort) | 5 wordmark files (16 in the boxed-AI OCR cluster) | POS max 0.26 vs NEG max 0.22 -- no separation; the mark may be two-part (wordmark + boxed AI) and needs a composed template. |
|
|
| `jianying_alpha.png` | 剪映AI (CapCut's CN sibling, bottom-right) | 2 corpus files | POS 0.29 vs NEG max 0.35. |
|
|
| `capcut_alpha.png` | CapCut AI pill (top-left; likely pill class, not plain text) | 3 corpus files | POS max 0.15 vs NEG max 0.33 -- locate geometry not yet fitted for the pill form. |
|
|
| `zsky_alpha.png` | MADE WITH zsky.ai (bottom-right) | 2 corpus files | POS 0.10 vs NEG max 0.27. |
|
|
| `chromastudio_alpha.png` | ChromaStudio.ai (bottom-right) | 2 corpus files | POS 0.11 vs NEG max 0.29. |
|
|
| `digenai_alpha.png` | DIGENAI (bottom-right) | 3 corpus files (one 2026-07-24 batch) | POS 0.16 vs NEG max 0.31. |
|
|
| `gendo_alpha.png` | GendoAI (bottom-left) | 3 corpus files | POS 0.08 vs NEG max 0.32. |
|
|
| `xinghui_alpha.png` | 星绘AI生成 (parked before this set) | -- | prior parking, unchanged. |
|
|
| `qingyan_alpha.png` | 清言·AI生成 (parked before this set) | -- | prior parking, unchanged. |
|
|
| `hailuo_alpha.png` | Hailuo AI image wordmark (parked before this set; the VIDEO label is registered) | -- | prior parking, unchanged. |
|
|
| `catlogo_alpha.png` | outline cat-head + AI生成 (parked before this set) | -- | prior parking, unchanged. |
|