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message: "If you cite DotCheck engines or measured holdout gates, use the citation below."
title: "DotCheck AI-likeness engines (inhouse@12, inhouse-text@11, inhouse-video@2)"
authors:
- name: "DotCheck"
url: "https://dotcheck.ai"
repository-code: "https://huggingface.co/DotCheck"
license: "Apache-2.0"
date-released: "2026-07-28"
abstract: >-
DotCheck serves binary AI-likeness scores for images (wire inhouse@12 /
Vermeer@12, adapted SigLIP2 + linear head), text (inhouse-text@11 / Valla@11,
seven languages), and video frame bags (inhouse-video@2 / Muybridge) using
linear/logistic heads on commercial-clean backbones. Live heads are
published under Apache-2.0 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@12, inhouse-text@11, inhouse-video@2)"
url: "https://dotcheck.ai/docs"
year: 2026
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