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Unlock the data advantage of high-performing generative models
Refine models faster with image data built for performance. High quality in, smarter results out.
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From raw to refined
For AI leaders, product teams, and engineers aiming to boost model output, alignment, and time-to-value. Learn why scraped datasets and aesthetic proxies often fall short—and how Shutterstock’s Generative Score, clustering methods, and semantic evaluation framework provide a more reliable path to performance. You’ll uncover what makes a dataset truly “refinement-worthy,” how to balance quality with visual diversity, and how to evaluate model outputs using signals rooted in real-world user behavior.
Engineered for performance
- Accelerate model refinement with data grounded in real-world user behavior
- Reduce legal risk using fully licensed, ethically sourced image datasets
- Increase output reliability by aligning training data with generative preferences
- Boost creative diversity through strategic clustering and quality scoring
- Validate progress confidently with a robust evaluation framework
Train your AI models with the best multimodal data
Build breakthrough AI models faster with the world’s largest collection of high-quality image, video, audio, and 3D assets.
Smarter models start here
Download the guide to learn how our expertly curated datasets help your AI learn faster and perform better.
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