For Researchers
With over three billion AI-generated images produced every month, dataset contamination is no longer a theoretical risk. DeepSight provides researchers with forensic verification tools to ensure the integrity of visual datasets and published findings.
Verify your dataset3B+
AI-generated images produced per month
$1.72B
Projected AI image detection market by 2030
30+
Generative models detected
The Challenge
Training datasets scraped from the web now contain a growing proportion of AI-generated images. Without systematic detection, models trained on contaminated data inherit synthetic artifacts and produce unreliable results.
If a published study relies on a dataset containing undetected synthetic images, its findings may not be reproducible. Reviewers and replication teams increasingly scrutinize the provenance of visual data.
Peer reviewers lack practical tools to verify whether figures, charts, or photographic evidence in submissions contain AI-generated components. Manual inspection is unreliable and does not scale.
Funding agencies and journals are beginning to require data provenance documentation. Researchers who cannot demonstrate the authenticity of their visual data risk rejection or retraction.
The Solution
Scan entire datasets for synthetic contamination. DeepSight identifies AI-generated images within large collections, flagging suspicious entries with confidence scores and generator attribution.
Generate detailed provenance reports for each image, including metadata analysis, statistical forensics, and source identification. These reports can be included as supplementary material in publications.
DeepSight detects output from 30+ generative models, including the latest diffusion architectures. The multi-signal approach avoids the blind spots that plague single-model detectors.
Integrate detection into your data processing pipeline with our REST API. Automate verification during dataset curation, preprocessing, or quality assurance stages.
Your Workflow
Curate or receive a visual dataset for your research
Run images through DeepSight via upload or API
Review flagged images and confidence scores
Document provenance in your methodology section
Common Questions
Yes. Our API supports batch processing, allowing you to submit datasets programmatically and receive results for each image. Enterprise plans include higher throughput and async processing via queue.
Upload an image and watch the multi-signal cascade work — metadata, forensics, and semantic analysis in real time.
Verify your dataset