| cff-version: 1.2.0 | |
| message: "If you cite DotCheck engines or measured holdout gates, use the citation below." | |
| title: "DotCheck AI-likeness engines (inhouse@14, inhouse-text@12, inhouse-video@4)" | |
| authors: | |
| - name: "DotCheck" | |
| url: "https://dotcheck.ai" | |
| repository-code: "https://huggingface.co/DotCheck" | |
| license: "Apache-2.0" | |
| date-released: "2026-08-25" | |
| abstract: >- | |
| DotCheck serves binary AI-likeness scores for images (wire inhouse@14 / | |
| Vermeer@14.2, pair stack: max-side 256 transport + native 224 center), | |
| text (inhouse-text@12 / Valla@12.2, eight language heads), and video stamps | |
| (inhouse-video@4 / Muybridge@4.4, same pair views then stamp-cap max) | |
| using commercial-clean SigLIP2 spines plus Apache-2.0 heads. Live heads | |
| are published on Hugging Face; everyday product scoring runs through | |
| DotCheck. | |
| keywords: | |
| - ai-detection | |
| - image-classification | |
| - text-classification | |
| - video | |
| - siglip2 | |
| preferred-citation: | |
| type: soft | |
| authors: | |
| - name: "DotCheck" | |
| title: "DotCheck engines (inhouse@14, inhouse-text@12, inhouse-video@4)" | |
| url: "https://dotcheck.ai/docs" | |
| year: 2026 | |