The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences

Understand

Human children far exceed modern machine learning algorithms in their sample efficiency, achieving high performance in key domains with much less data than current models.

• This ''data gap'' is a key challenge both for building intelligent artificial systems and for understanding human development.
• Egocentric video capturing children's experience--their ''training data''--is a key ingredient for comparison of humans and models and for the development of algorithmic innovations to bridge this gap.
• Yet there are few such datasets available, and extant data are low-resolution, have limited metadata, and importantly, represent only a small set of children's experiences.