egocentric video

Why your data collection process matters more than your model

Collecting high-quality speech and egocentric video datasets is rarely about the hardware alone, it is about the messy, human decisions behind every recording. The original poster's point about collection process outweighing model value resonates deeply, consistency in environments, device variability, and annotation drift can quietly undermine even the most ambitious multimodal projects. Privacy and participant compliance add another layer, one that scales poorly. For anyone building toward embodied AI, the real bottleneck is often trust in the data's provenance.