Time Magazine Covers - Cultural Analytics Lab
Every Outdoor Basketball Court in the U.S.A. - The Pudding
Modern art Color filter— Google Arts & Culture
Play a Kandinsky — Google Arts & Culture
- Manovich, Lev. “Cultural Analytics”
Explores large-scale visual analysis of cultural artifacts, including massive image sets from social media.
- Phototrails: Visualizing Millions of Instagram Photos
A project demonstrating how images can be treated as data for geographic, temporal, and aesthetic pattern analysis.
- Georgia Tech: Digital Media & Visual Analytics
Showcases student projects that apply creative, design-centric methods to image-based data in art and interactive installations.
- Runway ML
A no-code/low-code tool for computer vision and machine learning applications, allowing designers to experiment with image classification, color extraction, and generative models.
- Google Arts & Culture Experiments
- https://artsandculture.google.com/experiment
Features interactive experiments that treat artworks, historical images, and photographs as data, often combined with metadata like location or period.
- New Media Installations and Image Data
- Paolo Cirio: Known for turning images scraped from social media into large-scale data art pieces, provoking discussions on privacy and identity.
- Refik Anadol: Uses AI-driven visuals to transform image datasets into immersive environments.
- Image Databases and Datasets
- COCO (Common Objects in Context): https://cocodataset.org
Useful for seeing how images are annotated and categorized for machine learning.
- Google Open Images: https://storage.googleapis.com/openimages/web/index.html - Open Images Dataset V7
A large dataset with labeled images for academic and design experimentation.
- Data Feminism (Catherine D’Ignazio & Lauren F. Klein)
- https://data-feminism.mitpress.mit.edu/
While not exclusively about images, it provides critical frameworks for thinking about data ethically and inclusively, which is crucial when dealing with visual content and user-generated imagery.