AI Images in the Wild (250,000 screens)

AI Images in the Wild (250,000 screens)

IMAGE

COMMERCIAL

LABELED

Detectors trained on clean generator output collapse on images that have been re-encoded by a platform and forwarded through a messaging app. This is that distribution: screenshots of images contributors encountered in their feeds and judged synthetic, each with the platform, the source, a one-line reason for suspicion and a confidence rating. Self-generated images and submissions without source context are refused, and each contributor is capped at five. The labels are human suspicion, not verified provenance; treat them as weak supervision. Unlike WildRF, Chameleon or ITW-SM, it draws on Southeast Asian, American and European feeds together; Kled licenses the screenshots and labels, and the posted images remain third-party content.

Volume

250,000+

Screenshots

Contributors

83,000+

Regions

100+ countries

Updated

Technical specs

Technical specs

What’s in the collection and how it’s delivered.

Data modality

Images

Annotated

Labeled (platform, source, reason, confidence)

Exclusivity

Non-exclusive rights

Capture tool

Phone screenshots

Use cases

AI-generated image detection on platform-compressed images, human-perception baselines, provenance research

Format

JPG / PNG / HEIC

Resolution

Native device screen resolution (JPG, PNG, HEIC)

Total volume

250,000+ screenshots (approx. 250 GB)

Regions

100+ countries

Purity level

99%+ passed QA review

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