Visual Experience Dataset

The Visual Experience Dataset consists of over 240 hours of egocentric video, complete with gaze and head tracking, recorded while participants engaged in common, everyday activities. This was a collective effort of the labs of Michelle Greene (Bates College, now Barnard College, Columbia University), Benjamin Balas (North Dakota State University), Mark Lescroart, and Paul MacNeilage (both University of Nevada Reno). All sessions contain head tracking and processed gaze files. World video, eye video, and session annotations are available on Databrary (https://nyu.databrary.org/volume/1612) * Tasks include: working, shopping, cleaning, hiking, socializing, playing music, creating art, and sports. * Demographics: N=59 observers, ages 6-49. Please note that the preferred citation format for this resource is as follows: Greene, M.R., Balas, B.J., Lecroart, M.D., MacNeilage, P.R., Hart, J.A., Binaee, K., Hausamann, P.A., Mezile, R., Shankar, B., Sinnott, C.B., Capurro, K., Halow, S., Howe, H., Josyula, M., Li, A., Mieses, A., Mohamed, A., Nudnou, I., Parkhill, E., Riley, P., Schmidt, B., Shinkle, M.W., Si, W., Szekely, B, Torres, J.M., Weissmann, E. (2024) The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video. ArXiv.