3 papers
cs.CV2026
Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research
Michelle R. Greene
Large image datasets have accelerated progress in cognitive neuroscience and computer vision. However, most datasets are low-resolution, internet-sourced JPEGs with unknown capture…
cs.CV2025
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
Michelle R. Greene, Mariam Josyula, Wentao Si +1
Computer-based scene understanding has influenced fields ranging from urban planning to autonomous vehicle performance, yet little is known about how well these technologies work a…
cs.CV2024
The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video
Michelle R. Greene, Benjamin J. Balas, Mark D. Lescroart +23
We introduce the Visual Experience Dataset (VEDB), a compilation of over 240 hours of egocentric video combined with gaze- and head-tracking data that offers an unprecedented view…