Train your AI models with the best multimodal data

Innovate with confidence using Shutterstock’s image, video, audio, and 3D data—the world’s largest, most diverse, highest quality, and ethically sourced.


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      Trusted by the world’s most innovative companies

      Why leading companies rely on Shutterstock data

      High-quality precision

      Train your models with exceptionally accurate metadata that’s meticulously reviewed.


      Largest and most diverse library

      Leverage 675M+ images, videos, music tracks, and more from talented artists around the world.

      Peace of mind

      Work risk-free with fully licensable datasets curated to avoid unwanted or unlawful content.

      Ethical sourcing

      Rest assured that our data is ethically sourced from creators who consent to and are compensated for the use of their content.

      Flexibility

      Whether you just need images, videos, or music—or complete access to our entire catalog, we can tailor our offerings to meet your unique requirements.

      Better models

      Using a mix of content types makes your models more accurate and more capable of nuanced predictions.

      Millions of datasets—and counting


      Download a pack of curated sample datasets, which feature premium images and relevant metadata from our world-class content library.

      620M+ images • 50M+ videos • 3M+ music tracks and SFX • 1M+ 3D models • 3M+ contributors from 150+ countries


      Download sample datasets

        • Sample dataset for Generative AI 
        • Sample dataset for Facial Recognition
        • Sample dataset for Object Recognition
        • Sample dataset for People Recognition
        Sample dataset for Generative AI 

        Description

        Explore 1,000 high-res images and their metadata from our original image library. These include photos, vectors, and illustrations from various content categories.

        Metadata

        asset_metadata.csv:

        id, keywords, image_type, has_model_release, has_people, primary_category


        file_metadata.csv:

        asset_id


        model_metadata.csv:

        asset_id, model_release_id, age_range, gender, ethnicity


        Sample dataset for Facial Recognition
        • Description
        • 100 high-res images and accompanying metadata sourced from our 550+ million image library. Image types for this sample include photos selected from our "People" category.
        • Metadata
        • asset_metadata.csv:
        • id, keywords, image_type, has_model_release, has_people, primary_category



        • file_metadata.csv:
        • asset_id

        • model_metadata.csv:
        • asset_id, model_release_id, age_range, gender, ethnicity


        Sample dataset for Object Recognition
        • Description
        • 200 high-res images and accompanying metadata sourced from our 550+ million image library. Image types for this sample include photos selected from various categories.
        • Metadata
        • asset_metadata.csv:
        • id, keywords, image_type, has_model_release, has_people, primary_category



        • file_metadata.csv:
        • asset_id

        • model_metadata.csv:
        • asset_id, model_release_id, age_range, gender, ethnicity


        Sample dataset for People Recognition
        • Description
        • Find 200 high-res images with metadata, featuring photos selected for our “People” category.
        • Metadata
        • asset_metadata.csv:
        • id, keywords, image_type, has_model_release, has_people, primary_category



        • file_metadata.csv:
        • asset_id

        • model_metadata.csv:
        • asset_id, model_release_id, age_range, gender, ethnicity


        Download sample datasets

          Recognized for award-winning data

          Shutterstock was named Data Provider Partner of the Year at the 2024 Data + AI Summit for its innovative generative AI use cases with Databricks, and distribution of image data on the Databricks Marketplace.

          Ready to discuss your data needs with our specialists?


          Let’s customize a dataset to meet your unique needs.

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