How are teams actually handling consent and bias in facial recognition training data?

Facial recognition keeps improving on paper, but the data side feels like a mess to me. A lot of the well-known datasets were scraped without consent, and bias across skin tones, age, and lighting conditions is still a real problem. For those working on FR systems: how are you sourcing training data that's both diverse enough to avoid bias and actually collected with consent? Are you licensing from vendors, collecting your own, or relying on public datasets and hoping for the best? Curious where people draw the line ethically vs practically. submitted by /u/RoofProper328 [link] [comments]